pareto.ai
Open in
urlscan Pro
76.76.21.21
Public Scan
Submitted URL: https://www.navigatepareto.com/
Effective URL: https://pareto.ai/
Submission: On September 23 via api from US — Scanned from DE
Effective URL: https://pareto.ai/
Submission: On September 23 via api from US — Scanned from DE
Form analysis
1 forms found in the DOM#
<form action="#">
<main id="ai-home" class="ds page page-home ui-light isLoaded">
<div class="ds navigation-bar"><input type="checkbox" id="hamburger_input" name="hamburger_input"><label for="hamburger_input"><span></span><span></span><span></span></label>
<nav class="span-grid grid"><a class="logo-wrapper md-start-2 md-span-2" href="/"><p class="logo s1"><span class="icon">z</span><strong class="name">Pareto</strong></p></a>
<ul class="content md-start-4 md-span-8">
<li class="item span-8"><button class="ds button x-heading simple" type="button"><span class="underlined"><span>Solutions</span><span class="icon s-2" style="--icon: 'V';"></span></span></button>
<ul class="sub-items-wrapper" style="--display: none; --rows: 4;">
<li class="sub-item"><a href="/rlhf">RLHF</a></li>
<li class="sub-item"><a href="/reinforcement-learning">Side by side RL</a></li>
<li class="sub-item"><a href="/original-content-generation">Original content</a></li>
<li class="sub-item"><a href="/llm-hallucination-testing">Creative hallucination</a></li>
<li class="sub-item"><a href="/ai-safety-ethics-training">Safety, ethics, & compliance</a></li>
<li class="sub-item"><a href="/ai-factuality-training">Honesty and factuality training</a></li>
<li class="sub-item"><a href="/llm-prompting">LLM prompting</a></li>
<li class="sub-item"><a href="/data-classification-and-indexing">Data classification & indexing</a></li>
<li class="sub-item"><a href="/engine-annotation">Engine annotation</a></li>
<li class="sub-item"><a href="/llm-fluency-relevancy-grading">LLM fluency & relevancy grading</a></li>
<li class="sub-item"><a href="/chain-of-thought-reasoning">Chain-of-thought reasoning</a></li>
</ul>
</li>
<li class="item span-8"><button class="ds button x-heading simple" type="button"><span class="underlined"><span>Case studies</span><span class="icon s-2" style="--icon: 'V';"></span></span></button>
<ul class="sub-items-wrapper" style="--display: none; --rows: 1;">
<li class="sub-item"><a href="/case-studies/debate-judgment-mats">MATS, UC London, and Anthropic</a></li>
</ul>
</li>
<li class="item span-8"><button class="ds button x-heading simple" type="button"><span class="underlined"><span>Ops services</span><span class="icon s-2" style="--icon: 'V';"></span></span></button>
<ul class="sub-items-wrapper" style="--display: none; --rows: 3;">
<li class="sub-item"><a href="/outsourced-operations">Outsourced ops assistants</a></li>
<li class="sub-item"><a href="/outsourced-operations/how-it-works">How it works</a></li>
<li class="sub-item"><a href="/outsourced-ops-solutions">Explore ops solutions</a></li>
</ul>
</li>
<li class="item span-8"><button class="ds button x-heading simple" type="button"><span class="underlined"><span>Careers</span><span class="icon s-2" style="--icon: 'V';"></span></span></button>
<ul class="sub-items-wrapper" style="--display: none; --rows: 2;">
<li class="sub-item"><a href="/careers/ai-trainer">Apply to train AI</a></li>
<li class="sub-item"><a href="/careers">Join our team</a></li>
</ul>
</li>
<li class="item span-8"><a href="/blog/">Blog</a></li>
<li class="cta-mobile"><button class="ds button x-interactive gradient" type="button">Get started</button></li>
</ul>
<div class="md-start-13 cta-desktop"><button class="ds button x-interactive gradient" type="button">Get started</button></div>
</nav>
</div>
<section id="ai-home_head" class="ds section ds section-hero to-plain padded grid">
<div class="span-8 md-start-2 md-span-6">
<div class="ds title">
<h1 class=""><span>Premium AI & LLM training data labeled by</span> <span class="x-highlighted c-x">elite teams</span></h1>
<p class="s2 subtitle">Our talent-first data collection platform matches AI companies with expert-vetted data labelers. From same-day experimental data to fully managed teams, fine-tune any dimension of your AI/LLM model with the highest
quality data at unbeatable prices.</p>
</div>
<div class="actions"><button class="ds button x-interactive gradient spaced" type="button" style="margin-bottom: 0px;">Get
started</button><a href="#profiles"><button class="ds button secondary-action x-interactive ghost spaced" type="button" style="margin-bottom: 0px;">Explore profiles</button></a></div>
</div>
</section>
<section id="ai-home_customers" class="ds section x-background-far b-x padded grid">
<div class="ds customers span-8 md-start-2 md-span-12 x-main">
<div class="logos"><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#character-ai"></use>
</svg><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#imbue"></use>
</svg><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#stanford"></use>
</svg><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#penn"></use>
</svg><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#nyu"></use>
</svg><svg class="ds svg logo x-highlighted wrapped" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 512 256">
<use class="" href="/customer_logos.sprite.svg#bytedance"></use>
</svg></div>
</div>
</section><span id="profiles" class="anchor"></span>
<section id="ai-home_labelers" class="ds section x-background-far b-x padded grid" style="padding-top: calc(var(--theme-default-section-spacing) / 2);">
<p class="span-8 md-start-2 md-span-3 x-paragraph c-x s1">Work with diverse & vetted professionals</p>
<div class="span-8 md-start-6 md-span-6 grid">
<p class="h1 span-grid remove-margin"><span class="x-highlighted c-x">Introducing the top 0.01% of AI data labelers</span></p>
<p class="span-grid s2">We are a globally distributed network of <span class="x-highlighted c-x">master annotators, evaluators, and prompt engineers</span> with proven track record successfully completing 3,000,000+ tasks for the world's
largest AI/ML organizations.</p>
</div>
</section>
<section class="ds section x-background-far b-x padded grid">
<div class="ds snap-scroller ds group x-background-far b-x span-8 md-span-14 snap-scroller desktop-snap-scroller">
<div class="hide-on-mobile md-span-1 manual"></div>
<div id="expert-1" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Anna.jpg" alt="Anna, Database and SAP Technician" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Anna</p>
<p class="identifier">25-30/F</p>
</div>
<p class="role x-highlighted c-x">Database and SAP Technician</p>
<p class="location">Manhattan, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span><span class="ds label x-main2 compact">Portuguese</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Scripting</span><span class="ds label x-background-near compact">Reinforcement Learning</span><span class="ds label x-background-near compact">Semantic
Segmentation</span><span class="ds label x-background-near compact">Sentiment Analysis Specialist</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">55,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-2" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Tim.jpg" alt="Tim, Financial Compliance Manager" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Tim</p>
<p class="identifier">30-40/M</p>
</div>
<p class="role x-highlighted c-x">Financial Compliance Manager</p>
<p class="location">Kansas City, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span><span class="ds label x-main2 compact">German</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Prompt Engineering</span><span class="ds label x-background-near compact">RLHF</span><span class="ds label x-background-near compact">Technical Writing
Trainer</span><span class="ds label x-background-near compact">Safety</span><span class="ds label x-background-near compact">Alignment</span><span class="ds label x-background-near compact">Adversarial Content Master</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">83,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-3" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Zethara.jpg" alt="Zethara, Published Author, Poet" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Zethara</p>
<p class="identifier">50+/F</p>
</div>
<p class="role x-highlighted c-x">Published Author, Poet</p>
<p class="location">El Paso, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Creative Content Training</span><span class="ds label x-background-near compact">Long-tail Uniqueness</span><span class="ds label x-background-near compact">Custom
Hallucination Inducement</span><span class="ds label x-background-near compact">Multimedia Trainer</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">832,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-4" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Wells.jpg" alt="Wells, Aviation Electrician, Quality Assurance Team" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Wells</p>
<p class="identifier">30-40/M</p>
</div>
<p class="role x-highlighted c-x">Aviation Electrician, Quality Assurance Team</p>
<p class="location">Miami, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Bias Training</span><span class="ds label x-background-near compact">Safety</span><span class="ds label x-background-near compact">Alignment</span><span
class="ds label x-background-near compact">Adversarial Content Specialist</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">110,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-5" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Lexie.jpg" alt="Lexie, Stay at home mom" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Lexie</p>
<p class="identifier">25-35/F</p>
</div>
<p class="role x-highlighted c-x">Stay at home mom</p>
<p class="location">Rochester, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Fluency Training</span><span class="ds label x-background-near compact">Prompt Engineering</span><span class="ds label x-background-near compact">Image
Classification</span><span class="ds label x-background-near compact">Sheet Scripting and Dialogs</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">130,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-6" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Distance.jpg" alt="Distance, B.A., Elementary Education" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Distance</p>
<p class="identifier">30-40/F</p>
</div>
<p class="role x-highlighted c-x">B.A., Elementary Education</p>
<p class="location">Chicago, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">RLHF</span><span class="ds label x-background-near compact">ML Process Annotator</span><span class="ds label x-background-near compact">Model Precision</span><span
class="ds label x-background-near compact">Semantic Segmentation</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.8%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">610,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-7" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Donovan.jpg" alt="Donovan, B.S., Accounting" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Donovan</p>
<p class="identifier">40-50/M</p>
</div>
<p class="role x-highlighted c-x">B.S., Accounting</p>
<p class="location">Philadelphia, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Reinforcement Learning</span><span class="ds label x-background-near compact">Document Indexing</span><span class="ds label x-background-near compact">Span
Categorization</span><span class="ds label x-background-near compact">Item Similarity</span><span class="ds label x-background-near compact">Archive Classification</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.8%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">500,000</p>
</div>
</div>
</div>
</div>
</div>
<div id="expert-8" class="ds card ds expert-card s-1 span-6 md-span-4 manual">
<div class="ds section image-section"><img src="/profiles/Soraya.jpg" alt="Soraya, B.A., Psychology" draggable="false"></div>
<div class="ds section">
<div class="details">
<div class="person">
<p class="name h2">Soraya</p>
<p class="identifier">25-30/F</p>
</div>
<p class="role x-highlighted c-x">B.A., Psychology</p>
<p class="location">Oakland, USA</p>
</div>
<div>
<div class="languages"><span class="ds label x-main2 compact">English</span></div>
</div>
<div>
<div class="tags"><span class="ds label x-background-near compact">Content Moderation</span><span class="ds label x-background-near compact">Safety</span><span class="ds label x-background-near compact">Alignment</span><span
class="ds label x-background-near compact">Adversarial Content Specialist</span><span class="ds label x-background-near compact">RLHF</span><span class="ds label x-background-near compact">Prompt Engineering</span></div>
</div>
<div>
<div class="stats">
<div class="stat">
<p class="label h3">Approval rate</p>
<p class="value h3">99.9%</p>
</div>
<div class="stat">
<p class="label h3">Tasks completed</p>
<p class="value h3">163,000</p>
</div>
</div>
</div>
</div>
</div>
</div>
<p class="md-start-6 md-span-6 span-8 x-paragraph c-x s1">Fictitious images and names are used to protect privacy. All degrees, skills, and accreditations are verified.</p>
</section>
<section class="ds section x-background-far b-x spaced padded grid">
<p class="h1 md-start-2 md-span-5 span-8 remove-margin"><span class="x-highlighted c-x">Harness the potential of world-class AI talent</span></p><img alt="Harness Pareto AI" src="/misc/potential.webp" class="md-start-8 md-span-5 span-8"
style="width: 100%; border-radius: var(--theme-default-border-radius); object-fit: cover; grid-row: span 3;">
<p class="md-start-2 md-span-5 span-8 s2">Partner with experienced labelers for unique insights to refine your labels, improve guidelines, and track team performance. Ensure <span class="x-highlighted c-x">smooth setup and cost-effective
execution</span> whatever the use case.</p>
</section>
<section id="ai-home_use-cases" class="ds section x-background-far b-x padded grid">
<div class="span-8 md-start-2 md-span-12 grid">
<a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/rlhf"><div class="info"><img src="/misc/rlhf.png" alt="RLHF"><p class="x-heading c-x h4">RLHF</p><p class="x-paragraph c-x">We provide human feedback on a model's output through demonstrations, evaluations, or ranking of its generated results.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/reinforcement-learning"><div class="info"><img src="/misc/reinforcement-learning.png" alt="Side-by-side model comparison"><p class="x-heading c-x h4">Side-by-side model comparison</p><p class="x-paragraph c-x">We evaluate and rank outputs across multiple models based on accuracy, relevance, and quality to determine the best-performing model.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/original-content-generation"><div class="info"><img src="/misc/original-content-generation.png" alt="Unique original content"><p class="x-heading c-x h4">Unique original content</p><p class="x-paragraph c-x">We create and collect unique prompts and demonstrations of ideal responses across hundreds of categories to train creativity and originality.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/llm-hallucination-testing"><div class="info"><img src="/misc/llm-hallucination-testing.png" alt="Creative hallucination inducement"><p class="x-heading c-x h4">Creative hallucination inducement</p><p class="x-paragraph c-x">We apply creative strategies to induce models to break rules and determine the areas that need improvement.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/ai-factuality-training"><div class="info"><img src="/misc/ai-factuality-training.png" alt="Honesty and factuality training"><p class="x-heading c-x h4">Honesty and factuality training</p><p class="x-paragraph c-x">We evaluate a model's outputs, provide feedback, and ensure that the model's responses are both honest and factual.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 revealed clickable" href="/ai-safety-ethics-training"><div class="info"><img src="/misc/ai-safety-ethics-training.png" alt="AI safety, compliance, and ethics training"><p class="x-heading c-x h4">AI safety, compliance, and ethics training</p><p class="x-paragraph c-x">We find problematic, adversarial, harmful, and illegal behavior by models and provide feedback as needed.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 hidden clickable" href="/engine-annotation"><div class="info"><img src="/misc/engine-annotation.png" alt="In-depth engine annotation"><p class="x-heading c-x h4">In-depth engine annotation</p><p class="x-paragraph c-x">We annotate every step of the LLM process, from data labeling, training & fine-tuning, quality control, human-in-the-loop feedback, and evaluation.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 hidden clickable" href="/data-classification-and-indexing"><div class="info"><img src="/misc/classification.png" alt="Classification"><p class="x-heading c-x h4">Classification</p><p class="x-paragraph c-x">We classify and compare LLM data, including text, images, audio questions, and prompts.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 hidden clickable" href="/llm-prompting"><div class="info"><img src="/misc/prompt-creation.png" alt="Prompt creation"><p class="x-heading c-x h4">Prompt creation</p><p class="x-paragraph c-x">We craft highly effective prompts that stimulate creative responses from LLMs, generating original and engaging content for various applications.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a><a class="ds use-case-card span-8 md-span-4 hidden clickable" href="/llm-fluency-relevancy-grading"><div class="info"><img src="/misc/term-relevancy.png" alt="Term relevancy and item fluency grading"><p class="x-heading c-x h4">Term relevancy and item fluency grading</p><p class="x-paragraph c-x">We ensure that the LLM's outputs are both contextually relevant and fluently constructed.</p></div><div class="path-link s-1"><span>Learn more</span> <span class="icon s-2 x-paragraph c-x">M</span></div></a>
<div class="ds use-case-card span-8 md-span-4 hidden" to="">
<div class="info"><img src="/misc/language-segmentation.png" alt="Language segmentation">
<p class="x-heading c-x h4">Language segmentation</p>
<p class="x-paragraph c-x">We identify, validate, and correct errors in segmented text units, ensuring the engine refines segmentation and extracts key terms accurately.</p>
</div>
</div>
<div class="ds use-case-card span-8 md-span-4 hidden" to="">
<div class="info"><img src="/misc/data-labeling-dataset-creation.png" alt="Data labeling and dataset creation">
<p class="x-heading c-x h4">Data labeling and dataset creation</p>
<p class="x-paragraph c-x">We precisely label and create expertly-curated foundational data to streamline model training and optimize output.</p>
</div>
</div>
</div>
<div class="md-start-7 md-span-2 span-8" style="display: flex; justify-content: center;"><button class="ds button x-interactive ghost" type="button">Load more</button></div>
</section>
<section id="ai-home_unbeatable-rates" class="ds section x-background-far b-x spaced padded grid">
<p class="span-8 md-start-2 md-span-3 x-paragraph c-x s1">Transparent & unbeatable rates</p>
<div class="span-8 md-start-6 md-span-6 grid">
<p class="h1 span-grid remove-margin"><span class="x-highlighted c-x">On demand and cost-effective pricing</span></p>
<p class="span-grid s2">Start with no minimums & <span class="x-highlighted c-x">pay as you go</span> for quality-assured results. Fair hourly rates are set based on the expertise and skills of the workforce you need.</p>
</div>
</section>
<section id="ai-home_steps" class="ds section x-background-far b-x padded grid">
<p class="span-8 md-start-2 md-span-3 h1 remove-top-margin"><span class="x-highlighted c-x">How it works</span></p>
<div class="ds steps span-8 md-start-6 md-span-6 grid dense">
<div class="ds steps-step grid span-grid"><svg width="100" height="100" class="span-8 md-span-1">
<circle cx="40" cy="40" r="40" fill="var(--main2)" stroke="var(--ui-lines)" stroke-width="1"></circle><text x="40" y="42" text-anchor="middle" alignment-baseline="middle" fill="var(--interactive)" font-size="2em">1</text>
</svg>
<div class="md-start-2 start-1 span-grid">
<p class="h4" style="margin-top: 0px;">Describe your project</p>
<p>We help you develop clear project guidelines, determine the ideal labeling team, and set a cost-effective hourly rate to fit your timeline.</p>
</div>
</div>
<div class="ds steps-step grid span-grid"><svg width="100" height="100" class="span-8 md-span-1">
<circle cx="40" cy="40" r="40" fill="var(--main2)" stroke="var(--ui-lines)" stroke-width="1"></circle><text x="40" y="42" text-anchor="middle" alignment-baseline="middle" fill="var(--interactive)" font-size="2em">2</text>
</svg>
<div class="md-start-2 start-1 span-grid">
<p class="h4" style="margin-top: 0px;">Match with top labelers</p>
<p>We assemble your team same-day from our vetted network. If you have unique needs, we can find the right experts in just 3-5 days.</p>
</div>
</div>
<div class="ds steps-step grid span-grid"><svg width="100" height="100" class="span-8 md-span-1">
<circle cx="40" cy="40" r="40" fill="var(--main2)" stroke="var(--ui-lines)" stroke-width="1"></circle><text x="40" y="42" text-anchor="middle" alignment-baseline="middle" fill="var(--interactive)" font-size="2em">3</text>
</svg>
<div class="md-start-2 start-1 span-grid">
<p class="h4" style="margin-top: 0px;">Fully managed & quality assured</p>
<p>We support labelers to deliver the highest quality data with paid trials, expert-review & feedback, gold standard items, and more QA techniques.</p>
</div>
</div>
</div>
</section>
<section id="ai-home_crowdwork" class="ds section x-background-far b-x spaced padded grid">
<p class="span-8 md-start-2 md-span-3 x-paragraph c-x s1">Redefining ethical crowd work</p>
<div class="span-8 md-start-6 md-span-6 grid">
<p class="h1 span-grid remove-margin"><span class="x-highlighted c-x">Built by and for a new generation of labelers</span></p>
<p class="span-grid s2">The infrastructure behind human data collection is outdated. We've joined forces with seasoned data labelers and crowd work researchers to redefine the relationship between workers and requesters.</p>
<p class="span-grid remove-top-margin s2">Pareto operates on the principles of equitable compensation, collaborative management, and expert evaluation & feedback. Our mission is to <span class="x-highlighted c-x">empower talented &
diverse professionals worldwide to contribute to AI training.</span></p>
</div>
</section>
<section id="ai-home_map" class="ds section x-background-far b-x padded grid">
<div class="ds interactive-map span-grid x-metadata"><svg class="ds svg x-metadata c-x" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 1368 663">
<use class="" href="/interactive-map.sprite.svg#map"></use>
</svg>
<div class="ds point" style="top: 59%; left: 28.5%;">
<div class="ds popover s-3 x-background-far top left">Santa Marta, Colombia</div>
</div>
<div class="ds point" style="top: 50%; left: 18.5%;">
<div class="ds popover s-3 x-background-far top left">Nezahualcóyotl, Mexico</div>
</div>
<div class="ds point" style="top: 44%; left: 14.5%;">
<div class="ds popover s-3 x-background-far top left">Los Angeles, California</div>
</div>
<div class="ds point" style="top: 40.5%; left: 13%;">
<div class="ds popover s-3 x-background-far top left">San Francisco, California</div>
</div>
<div class="ds point" style="top: 39%; left: 27.5%;">
<div class="ds popover s-3 x-background-far top left">Providence, Rhode Island</div>
</div>
<div class="ds point" style="top: 85%; left: 27.5%;">
<div class="ds popover s-3 x-background-far top left">Santiago, Chile</div>
</div>
<div class="ds point" style="top: 64%; left: 58%;">
<div class="ds popover s-3 x-background-far top left">Nairobi, Kenya</div>
</div>
<div class="ds point" style="top: 55%; left: 76.5%;">
<div class="ds popover s-3 x-background-far top left">Bangkok, Thailand</div>
</div>
<div class="ds point" style="top: 35%; left: 15%;">
<div class="ds popover s-3 x-background-far top left">Spokane, Washington</div>
</div>
<div class="ds point" style="top: 57%; left: 82.5%;">
<div class="ds popover s-3 x-background-far top left">Cebu, Philippines</div>
</div>
<div class="ds point" style="top: 35.5%; left: 55%;">
<div class="ds popover s-3 x-background-far top left">Iasi, Romania</div>
</div>
<div class="ds point" style="top: 61%; left: 50.5%;">
<div class="ds popover s-3 x-background-far top left">Oyo, Nigeria</div>
</div>
<div class="ds point" style="top: 51%; left: 69%;">
<div class="ds popover s-3 x-background-far top left">Garugram, Haryana, India</div>
</div>
<div class="ds point" style="top: 49.5%; left: 69.5%;">
<div class="ds popover s-3 x-background-far top left">New Delhi, Delhi, India</div>
</div>
<div class="ds point" style="top: 30%; left: 46.5%;">
<div class="ds popover s-3 x-background-far top left">London, United Kingdom</div>
</div>
<div class="ds point" style="top: 55%; left: 81.5%;">
<div class="ds popover s-3 x-background-far top left">Quezon City, Philippines</div>
</div>
<div class="ds point" style="top: 49.5%; left: 16.5%;">
<div class="ds popover s-3 x-background-far top left">Baja California, Mexico</div>
</div>
<div class="ds point" style="top: 46%; left: 24.5%;">
<div class="ds popover s-3 x-background-far top left">Jacksonville, Florida</div>
</div>
<div class="ds point" style="top: 40%; left: 22.5%;">
<div class="ds popover s-3 x-background-far top left">Chicago, Illinois</div>
</div>
<div class="ds point" style="top: 43%; left: 21.5%;">
<div class="ds popover s-3 x-background-far top left">Saint Louis, Missouri</div>
</div>
<div class="ds point" style="top: 44%; left: 23.5%;">
<div class="ds popover s-3 x-background-far top left">Newnan, Georgia</div>
</div>
<div class="ds point" style="top: 39%; left: 24%;">
<div class="ds popover s-3 x-background-far top left">Battle Creek, Michigan</div>
</div>
<div class="ds point" style="top: 44.5%; left: 17.5%;">
<div class="ds popover s-3 x-background-far top left">La Cruces, New Mexico</div>
</div>
<div class="ds point" style="top: 40%; left: 27%;">
<div class="ds popover s-3 x-background-far top left">Norristown, Pennsylvania</div>
</div>
<div class="ds point" style="top: 41%; left: 13.5%;">
<div class="ds popover s-3 x-background-far top left">Hayward, California</div>
</div>
<div class="ds point" style="top: 45%; left: 20%;">
<div class="ds popover s-3 x-background-far top left">Wichita, Kansas</div>
</div>
<div class="ds point" style="top: 43%; left: 21.5%;">
<div class="ds popover s-3 x-background-far top left">Saint Louis, Missouri</div>
</div>
<div class="ds point" style="top: 48%; left: 20.5%;">
<div class="ds popover s-3 x-background-far top left">Willis, Texas</div>
</div>
<div class="ds point" style="top: 43%; left: 14%;">
<div class="ds popover s-3 x-background-far top left">Van Nuys, California</div>
</div>
<div class="ds point" style="top: 39%; left: 26.5%;">
<div class="ds popover s-3 x-background-far top left">Henrietta, New York</div>
</div>
<div class="ds point" style="top: 42%; left: 25.5%;">
<div class="ds popover s-3 x-background-far top left">Roguemont, North Carolina</div>
</div>
<div class="ds point" style="top: 43%; left: 20.5%;">
<div class="ds popover s-3 x-background-far top left">Lincoln, Nebraska</div>
</div>
<div class="ds point" style="top: 40%; left: 25%;">
<div class="ds popover s-3 x-background-far top left">Morgantown, West Virginia</div>
</div>
<div class="ds point" style="top: 56%; left: 82.5%;">
<div class="ds popover s-3 x-background-far top left">La Trinidad, Philippines</div>
</div>
<div class="ds point" style="top: 55%; left: 82.5%;">
<div class="ds popover s-3 x-background-far top left">Tagaytay, Philippines</div>
</div>
<div class="ds point" style="top: 55.5%; left: 82.5%;">
<div class="ds popover s-3 x-background-far top left">Lumban, Philippines</div>
</div>
<div class="ds point" style="top: 55%; left: 83%;">
<div class="ds popover s-3 x-background-far top left">Calamba, Philippines</div>
</div>
<div class="ds point" style="top: 55%; left: 81.5%;">
<div class="ds popover s-3 x-background-far top left">Caloocan, Philippines</div>
</div>
<div class="ds point" style="top: 55.5%; left: 81.5%;">
<div class="ds popover s-3 x-background-far top left">Cainta, Philippines</div>
</div>
<div class="ds point" style="top: 55%; left: 83.5%;">
<div class="ds popover s-3 x-background-far top left">San Pedro, Philippines</div>
</div>
<div class="ds point" style="top: 54%; left: 81.5%;">
<div class="ds popover s-3 x-background-far top left">Marikina, Philippines</div>
</div>
<div class="ds point" style="top: 56%; left: 81.5%;">
<div class="ds popover s-3 x-background-far top left">Makati, Philippines</div>
</div>
<div class="ds point" style="top: 54%; left: 81%;">
<div class="ds popover s-3 x-background-far top left">Antipolo, Philippines</div>
</div>
</div>
</section>
<section id="ai-home_testimonials" class="ds section x-background-far b-x padded grid">
<p class="h1 md-start-2 md-span-8 span-8"><span class="x-highlighted c-x">Impressions from our community</span></p>
<div class="ds snap-scroller ds group span-8 md-start-2 md-span-12 snap-scroller desktop-grid desktop-no-scroll">
<div id="testimonial-1" class="ds card ds testimonial-card span-7 md-span-6 manual-mobile-only">
<div class="ds section">
<div class="rating x-main"><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span></div>
<p>"We were impressed with the efficiency of Pareto's team in helping us collect high-quality and challenging datasets on a tight schedule, using cost-effective and flexible processes. Their streamlined recruitment, training, and
communication with the rater pool allowed us to adjust usage as needed. Their impressive versatility and ease of use throughout the process made it a pleasure to work with them."</p>
</div>
<div class="ds section">
<div class="person"><img class="image" src="/testimonials/daniel-defreitas.webp" alt="Daniel De Freitas, Co-founder">
<div class="details">
<p class="name">Daniel De Freitas</p>
<p class="role">Co-founder @ Character.AI</p>
</div>
</div>
</div>
</div>
<div id="testimonial-2" class="ds card ds testimonial-card span-7 md-span-6 manual-mobile-only">
<div class="ds section">
<div class="rating x-main"><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span></div>
<p>"The greatest unlock for human data collection has been using Pareto to run non-conventional or experimental projects. Their on-demand experts are a game changer for getting quality data across a broad scope of tasks with minimal
commit and transparent costs."</p>
</div>
<div class="ds section">
<div class="person"><img class="image" src="/testimonials/romal-thoppilan.webp" alt="Romal Thoppilan, Founding Researcher">
<div class="details">
<p class="name">Romal Thoppilan</p>
<p class="role">Founding Researcher @ Character.AI</p>
</div>
</div>
</div>
</div>
<div id="testimonial-3" class="ds card ds testimonial-card span-7 md-span-6 manual-mobile-only">
<div class="ds section">
<div class="rating x-main"><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span></div>
<p>"We had a novel task that we needed to complete on a short time scale. The Pareto team worked very closely with us to onboard, disambiguate, and scale up for fast task completion. We're continuing to work with the same pool of high
quality raters for our newer tasks."</p>
</div>
<div class="ds section">
<div class="person"><img class="image" src="/testimonials/prajit-ramachandran.webp" alt="Prajit Ramachandran, Founding Researcher">
<div class="details">
<p class="name">Prajit Ramachandran</p>
<p class="role">Founding Researcher @ Character.AI</p>
</div>
</div>
</div>
</div>
<div id="testimonial-4" class="ds card ds testimonial-card span-7 md-span-6 manual-mobile-only">
<div class="ds section">
<div class="rating x-main"><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span></div>
<p>"Crowdsourcing platforms historically prioritize requesters, leading to a fragmented worker pool with constant struggles around pricing, quality and reputation. Bucking this trend, Pareto boosts worker agency and engagement — a more
efficient marketplace that leaves workers and requesters better off.”"</p>
</div>
<div class="ds section">
<div class="person"><img class="image" src="/testimonials/mark-whiting.webp" alt="Mark Whiting, Senior Scientist">
<div class="details">
<p class="name">Mark Whiting</p>
<p class="role">Senior Scientist @ UPenn</p>
</div>
</div>
</div>
</div>
<div id="testimonial-5" class="ds card ds testimonial-card span-7 md-span-6 manual-mobile-only">
<div class="ds section">
<div class="rating x-main"><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span><span class="icon">[</span></div>
<p>"Pareto is outstanding and working with them has been a pleasure. Their team's expertise in data collection and task setup guidance were instrumental in ensuring success. They have a flair for matching top-notch expert talent in line
with work requirements (which they pick up well thanks to their deep knowledge of the space). The quality of their work is exceptional and their timeliness impeccable, and I highly recommend them."</p>
</div>
<div class="ds section">
<div class="person"><img class="image" src="/testimonials/curtis-chin.webp" alt="Curtis Chin, I/ML Program Manager">
<div class="details">
<p class="name">Curtis Chin</p>
<p class="role">I/ML Program Manager @ Bytedance</p>
</div>
</div>
</div>
</div>
</div>
</section>
<section id="ai-home_cta" class="ds section ds section-cta from-plain spaced padded grid">
<div class="span-8 md-start-4 md-span-8">
<div class="ds title">
<p class="h1"><span class="x-highlighted c-x">Fine-tune your AI model with the highest quality human data</span></p>
<p class="s2 subtitle">Refine every facet of your AI with elite teams of expert-vetted data labelers at unbeatable prices.</p>
</div><button class="ds button x-interactive gradient spaced" type="button">Get started</button>
</div>
</section>
<section class="ds section ds footer x-undefined y-background-far grid">
<div class="wrapper grid span-grid spaced">
<div class="title span-8 md-start-2 md-span-12">
<p class="h2 remove-top-margin">Premium data by top labelers to fine-tune AI/LLM models</p>
<div class="ds theme-selector hide-on-mobile"><span class="c-x x-paragraph">Light Theme</span><button class="ds toggle-switch" type="button"><input type="checkbox" id="switch"><label for="switch"></label></button></div>
</div>
<div class="footer-nav md-start-2 md-span-3 span-4">
<p class="remove-top-margin h4">Solutions</p>
<div class="link-wrapper"><a href="/rlhf">RLHF</a></div>
<div class="link-wrapper"><a href="/reinforcement-learning">Side by side RL</a></div>
<div class="link-wrapper"><a href="/original-content-generation">Original content</a></div>
<div class="link-wrapper"><a href="/llm-hallucination-testing">Creative hallucination</a></div>
<div class="link-wrapper"><a href="/ai-safety-ethics-training">Safety, ethics, & compliance</a></div>
<div class="link-wrapper"><a href="/ai-factuality-training">Honesty and factuality training</a></div>
<div class="link-wrapper"><a href="/llm-prompting">LLM prompting</a></div>
<div class="link-wrapper"><a href="/data-classification-and-indexing">Data classification & indexing</a></div>
<div class="link-wrapper"><a href="/engine-annotation">Engine annotation</a></div>
<div class="link-wrapper"><a href="/llm-fluency-relevancy-grading">LLM fluency and relevancy grading</a></div>
<div class="link-wrapper"><a href="/chain-of-thought-reasoning">Chain-of-thought reasoning</a></div>
</div>
<div class="footer-nav md-start-5 md-span-3 span-4">
<p class="remove-top-margin h4">Ops services</p>
<div class="link-wrapper"><a href="/outsourced-operations">Outsourced ops assistants</a></div>
<div class="link-wrapper"><a href="/outsourced-operations/how-it-works">How it works</a></div>
<div class="link-wrapper"><a href="/outsourced-ops-solutions">Explore ops solutions</a></div>
</div>
<div class="footer-nav md-start-8 md-span-3 span-4">
<p class="remove-top-margin h4">Resources</p>
<div class="link-wrapper"><a href="/blog/">Blog</a></div>
<div class="link-wrapper"><a href="/careers/ai-trainer">Apply to train AI</a></div>
<div class="link-wrapper"><a href="/careers">Join our team</a></div>
</div>
<div class="footer-nav md-start-11 md-span-3 span-4">
<p class="remove-top-margin h4">Contact</p><a href="mailto:team@pareto.ai" class="contact-info">team@pareto.ai</a>
</div>
<div class="ds theme-selector hide-on-desktop start-5 span-4"><span class="c-x x-paragraph">Light Theme</span><button class="ds toggle-switch" type="button"><input type="checkbox" id="switch"><label for="switch"></label></button></div>
<p class="logo s2 md-start-2 md-span-2 span-8"><span class="icon s2 c-x x-heading">z</span><span class="h3">Pareto</span></p>
<div class="social-links md-start-11 md-span-3 span-8">
<a href="https://www.facebook.com/hellopareto" target="_blank" rel="noreferrer"><button class="ds x-facebook social-media-button" type="button">f</button></a><a href="https://www.twitter.com/hellopareto" target="_blank" rel="noreferrer"><button class="ds x-twitter social-media-button" type="button">t</button></a><a href="https://www.instagram.com/hellopareto" target="_blank" rel="noreferrer"><button class="ds x-instagram social-media-button" type="button">i</button></a><a href="https://www.linkedin.com/company/hellopareto" target="_blank" rel="noreferrer"><button class="ds x-linkedin social-media-button" type="button">l</button></a><a href="https://www.threads.net/@hellopareto" target="_blank" rel="noreferrer"><button class="ds x-threads social-media-button" type="button">u</button></a>
</div>
<div class="span-grid grid bottom-section md-start-2 md-span-12">
<div class="md-start-2 md-span-12 span-8">
<div class="copyright-info">
<p class="remove-top-margin">© 2024 Pareto All Rights Reserved.</p><svg class="ds svg md-start-12 md-span-3 span-8" xmlns="http://www.w3.org/2000/svg" version="1.1" preserveAspectRatio="xMinYMin meet" width="100%" viewBox="0 0 89 89">
<use class="" href="/wbenc-logo.svg#WBENC-Logo"></use>
</svg>
</div>
</div>
<div class="privacy-info span-8">
<div class="link-wrapper"><a href="https://coda.io/d/Code-of-conduct_dr5LIWr56Zl/Code-of-conduct_susUS#_luWCE" target="_blank" rel="noopener noreferrer">Code of conduct</a></div>
<div class="link-wrapper"><a href="/privacy">Privacy policy</a></div>
<div class="link-wrapper"><a href="/terms">Terms</a></div>
<div class="link-wrapper"><a href="/cookies">Cookies</a></div>
</div>
</div>
</div>
</section>
<div class="ds blur-overlay">
<div class="ds fixed-conversion-inner close grid">
<div class="ds progress-bar attached x-interactive" data-length="50%" style="--progress: 20; --height: .5em;"></div><button class="ds button close start-8 span-1 md-start-13 md-span-1 x-main simple" type="button"><span
class="underlined"><span class="icon">Y</span></span></button>
<div class="start-1 span-8 md-start-5 md-span-6 content">
<div class="description-section md-start-5 md-span-6">
<p class="h3">Get ready to join forces!</p>
</div>
<div class="interactive-section">
<div class="ds choices-input form-input"><label for="leadPriorities" class="ds form-label x-paragraph">What are your goals this quarter? (Select all that apply)</label>
<div class="choices">
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-reinforcement-learning" name="leadPriorities" value="reinforcement-learning"><label for="leadPriorities-reinforcement-learning" class="">Reinforcement
Learning</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-safety-ethics-compliance" name="leadPriorities" value="safety-ethics-compliance"><label for="leadPriorities-safety-ethics-compliance" class="">Safety,
Ethics, & Compliance Training</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-data-labeling" name="leadPriorities" value="data-labeling"><label for="leadPriorities-data-labeling" class="">Data Labelling</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-engine-annotation" name="leadPriorities" value="engine-annotation"><label for="leadPriorities-engine-annotation" class="">Engine Annotation</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-model-evaluation" name="leadPriorities" value="model-evaluation"><label for="leadPriorities-model-evaluation" class="">Model Evaluation</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-domain-specific-training" name="leadPriorities" value="domain-specific-training"><label for="leadPriorities-domain-specific-training" class="">Domain
Specific Training</label></div>
<div class="ds choice x-interactive"><input type="checkbox" id="leadPriorities-other" name="leadPriorities" value="other"><label for="leadPriorities-other" class="">Other</label></div>
</div>
</div>
<div class="ds select-input form-input">
<div class="ds single"><label for="whenToStart" class="ds form-label x-paragraph">When do you want to get started?</label>
<div class="select-wrapper"><select class="input y-paragraph" name="whenToStart" id="whenToStart">
<option value="" disabled=""></option>
<option value="asap">ASAP</option>
<option value="soon">In 2 weeks</option>
</select></div>
</div>
</div>
</div>
</div>
<div class="ds section ds navigator navigator-section start-1 span-8 md-start-2 md-span-12"><button class="ds button x-disabled next hidden x-main simple arrow-left" type="button" disabled=""><span
class="underlined">Back</span></button><button class="ds button x-interactive next x-main arrow-right" type="button" disabled="">Next</button></div>
<div class="bottom-banner no-wrap"><span class="hide-on-desktop">Interested in <a href="/careers/ai-trainer">working as an AI Trainer?</a></span><span class="hide-on-mobile">If you're interested in working as an AI Trainer, please apply
to join our <a href="/careers/ai-trainer">AI projects community.</a></span></div>
</div>
</div>
<div class="ds fixed-conversion-wrapper grid span-grid">
<div class="launch-text start-1 span-5 md-start-2 md-span-6">
<p class="hide-on-mobile">Join leading AI companies in harnessing world-class AI talent.</p>
<p class="hide-on-desktop">Harness world-class AI talent.</p>
</div><button class="ds button launch-button start-6 span-3 md-start-12 md-span-2 x-interactive x-main compact" type="button"><span class="hide-on-mobile">Get started</span><span class="hide-on-desktop">Get started</span></button>
</div><canvas id="gradient-canvas" data-transition-in="true" class="ds animated-gradient background isLoaded" width="1600" height="600"></canvas>
</main>
</form>
Text Content
zPareto * Solutions * RLHF * Side by side RL * Original content * Creative hallucination * Safety, ethics, & compliance * Honesty and factuality training * LLM prompting * Data classification & indexing * Engine annotation * LLM fluency & relevancy grading * Chain-of-thought reasoning * Case studies * MATS, UC London, and Anthropic * Ops services * Outsourced ops assistants * How it works * Explore ops solutions * Careers * Apply to train AI * Join our team * Blog * Get started Get started PREMIUM AI & LLM TRAINING DATA LABELED BY ELITE TEAMS Our talent-first data collection platform matches AI companies with expert-vetted data labelers. From same-day experimental data to fully managed teams, fine-tune any dimension of your AI/LLM model with the highest quality data at unbeatable prices. Get startedExplore profiles Work with diverse & vetted professionals Introducing the top 0.01% of AI data labelers We are a globally distributed network of master annotators, evaluators, and prompt engineers with proven track record successfully completing 3,000,000+ tasks for the world's largest AI/ML organizations. Anna 25-30/F Database and SAP Technician Manhattan, USA EnglishPortuguese ScriptingReinforcement LearningSemantic SegmentationSentiment Analysis Specialist Approval rate 99.9% Tasks completed 55,000 Tim 30-40/M Financial Compliance Manager Kansas City, USA EnglishGerman Prompt EngineeringRLHFTechnical Writing TrainerSafetyAlignmentAdversarial Content Master Approval rate 99.9% Tasks completed 83,000 Zethara 50+/F Published Author, Poet El Paso, USA English Creative Content TrainingLong-tail UniquenessCustom Hallucination InducementMultimedia Trainer Approval rate 99.9% Tasks completed 832,000 Wells 30-40/M Aviation Electrician, Quality Assurance Team Miami, USA English Bias TrainingSafetyAlignmentAdversarial Content Specialist Approval rate 99.9% Tasks completed 110,000 Lexie 25-35/F Stay at home mom Rochester, USA English Fluency TrainingPrompt EngineeringImage ClassificationSheet Scripting and Dialogs Approval rate 99.9% Tasks completed 130,000 Distance 30-40/F B.A., Elementary Education Chicago, USA English RLHFML Process AnnotatorModel PrecisionSemantic Segmentation Approval rate 99.8% Tasks completed 610,000 Donovan 40-50/M B.S., Accounting Philadelphia, USA English Reinforcement LearningDocument IndexingSpan CategorizationItem SimilarityArchive Classification Approval rate 99.8% Tasks completed 500,000 Soraya 25-30/F B.A., Psychology Oakland, USA English Content ModerationSafetyAlignmentAdversarial Content SpecialistRLHFPrompt Engineering Approval rate 99.9% Tasks completed 163,000 Fictitious images and names are used to protect privacy. All degrees, skills, and accreditations are verified. Harness the potential of world-class AI talent Partner with experienced labelers for unique insights to refine your labels, improve guidelines, and track team performance. Ensure smooth setup and cost-effective execution whatever the use case. RLHF We provide human feedback on a model's output through demonstrations, evaluations, or ranking of its generated results. Learn more M Side-by-side model comparison We evaluate and rank outputs across multiple models based on accuracy, relevance, and quality to determine the best-performing model. Learn more M Unique original content We create and collect unique prompts and demonstrations of ideal responses across hundreds of categories to train creativity and originality. Learn more M Creative hallucination inducement We apply creative strategies to induce models to break rules and determine the areas that need improvement. Learn more M Honesty and factuality training We evaluate a model's outputs, provide feedback, and ensure that the model's responses are both honest and factual. Learn more M AI safety, compliance, and ethics training We find problematic, adversarial, harmful, and illegal behavior by models and provide feedback as needed. Learn more M In-depth engine annotation We annotate every step of the LLM process, from data labeling, training & fine-tuning, quality control, human-in-the-loop feedback, and evaluation. Learn more M Classification We classify and compare LLM data, including text, images, audio questions, and prompts. Learn more M Prompt creation We craft highly effective prompts that stimulate creative responses from LLMs, generating original and engaging content for various applications. Learn more M Term relevancy and item fluency grading We ensure that the LLM's outputs are both contextually relevant and fluently constructed. Learn more M Language segmentation We identify, validate, and correct errors in segmented text units, ensuring the engine refines segmentation and extracts key terms accurately. Data labeling and dataset creation We precisely label and create expertly-curated foundational data to streamline model training and optimize output. Load more Transparent & unbeatable rates On demand and cost-effective pricing Start with no minimums & pay as you go for quality-assured results. Fair hourly rates are set based on the expertise and skills of the workforce you need. How it works 1 Describe your project We help you develop clear project guidelines, determine the ideal labeling team, and set a cost-effective hourly rate to fit your timeline. 2 Match with top labelers We assemble your team same-day from our vetted network. If you have unique needs, we can find the right experts in just 3-5 days. 3 Fully managed & quality assured We support labelers to deliver the highest quality data with paid trials, expert-review & feedback, gold standard items, and more QA techniques. Redefining ethical crowd work Built by and for a new generation of labelers The infrastructure behind human data collection is outdated. We've joined forces with seasoned data labelers and crowd work researchers to redefine the relationship between workers and requesters. Pareto operates on the principles of equitable compensation, collaborative management, and expert evaluation & feedback. Our mission is to empower talented & diverse professionals worldwide to contribute to AI training. Santa Marta, Colombia Nezahualcóyotl, Mexico Los Angeles, California San Francisco, California Providence, Rhode Island Santiago, Chile Nairobi, Kenya Bangkok, Thailand Spokane, Washington Cebu, Philippines Iasi, Romania Oyo, Nigeria Garugram, Haryana, India New Delhi, Delhi, India London, United Kingdom Quezon City, Philippines Baja California, Mexico Jacksonville, Florida Chicago, Illinois Saint Louis, Missouri Newnan, Georgia Battle Creek, Michigan La Cruces, New Mexico Norristown, Pennsylvania Hayward, California Wichita, Kansas Saint Louis, Missouri Willis, Texas Van Nuys, California Henrietta, New York Roguemont, North Carolina Lincoln, Nebraska Morgantown, West Virginia La Trinidad, Philippines Tagaytay, Philippines Lumban, Philippines Calamba, Philippines Caloocan, Philippines Cainta, Philippines San Pedro, Philippines Marikina, Philippines Makati, Philippines Antipolo, Philippines Impressions from our community [[[[[ "We were impressed with the efficiency of Pareto's team in helping us collect high-quality and challenging datasets on a tight schedule, using cost-effective and flexible processes. Their streamlined recruitment, training, and communication with the rater pool allowed us to adjust usage as needed. Their impressive versatility and ease of use throughout the process made it a pleasure to work with them." Daniel De Freitas Co-founder @ Character.AI [[[[[ "The greatest unlock for human data collection has been using Pareto to run non-conventional or experimental projects. Their on-demand experts are a game changer for getting quality data across a broad scope of tasks with minimal commit and transparent costs." Romal Thoppilan Founding Researcher @ Character.AI [[[[[ "We had a novel task that we needed to complete on a short time scale. The Pareto team worked very closely with us to onboard, disambiguate, and scale up for fast task completion. We're continuing to work with the same pool of high quality raters for our newer tasks." Prajit Ramachandran Founding Researcher @ Character.AI [[[[[ "Crowdsourcing platforms historically prioritize requesters, leading to a fragmented worker pool with constant struggles around pricing, quality and reputation. Bucking this trend, Pareto boosts worker agency and engagement — a more efficient marketplace that leaves workers and requesters better off.”" Mark Whiting Senior Scientist @ UPenn [[[[[ "Pareto is outstanding and working with them has been a pleasure. Their team's expertise in data collection and task setup guidance were instrumental in ensuring success. They have a flair for matching top-notch expert talent in line with work requirements (which they pick up well thanks to their deep knowledge of the space). The quality of their work is exceptional and their timeliness impeccable, and I highly recommend them." Curtis Chin I/ML Program Manager @ Bytedance Fine-tune your AI model with the highest quality human data Refine every facet of your AI with elite teams of expert-vetted data labelers at unbeatable prices. Get started Premium data by top labelers to fine-tune AI/LLM models Light Theme Solutions RLHF Side by side RL Original content Creative hallucination Safety, ethics, & compliance Honesty and factuality training LLM prompting Data classification & indexing Engine annotation LLM fluency and relevancy grading Chain-of-thought reasoning Ops services Outsourced ops assistants How it works Explore ops solutions Resources Blog Apply to train AI Join our team Contact team@pareto.ai Light Theme zPareto ftilu © 2024 Pareto All Rights Reserved. Code of conduct Privacy policy Terms Cookies Y Get ready to join forces! What are your goals this quarter? (Select all that apply) Reinforcement Learning Safety, Ethics, & Compliance Training Data Labelling Engine Annotation Model Evaluation Domain Specific Training Other When do you want to get started? ASAPIn 2 weeks BackNext Interested in working as an AI Trainer?If you're interested in working as an AI Trainer, please apply to join our AI projects community. Join leading AI companies in harnessing world-class AI talent. Harness world-class AI talent. Get startedGet started This website uses cookies to give you the best, most relevant experience. Read more DenyAccept