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Remote data annotation, RLHF, and AI evaluator roles from Mercor, Micro1, DataAnnotation, and more, in one place and refreshed every day. Free courses, a skills check, and certification then take you from your first task to better paid specialist work.
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Data annotation, RLHF, and AI evaluator roles, refreshed throughout the day. 635 open roles listed.
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Grow your career · Free at every step
From your first task to specialist pay
Most people start on entry level review work. The better paid RLHF, code, and expert domain projects go to people who can show sharper judgement. These five steps take you from one to the other.
- 01
Find a role
Search live annotation, RLHF, and evaluation openings by company, skill, pay, and location, all on one board.
Browse jobs → - 02
Check your skills
Take the free skills check on rubrics and model evaluation, and find the gaps in your judgement before an employer's screening test does.
Start the assessment → - 03
Level up
Work through free courses from annotation foundations up to the code, reasoning, and language tracks, where rates are higher.
See courses → - 04
Get certified
Finish an assessed capstone, marked by a person, and attach the certificate to applications for senior and specialist roles.
View certification → - 05
Get matched
Tell us what you can do and we match you to live openings worth your time. Applications go to the employer.
Get placement support →
Level up
Train for the work employers are actually screening for
Free courses on rubrics, model evaluation, and specialist domains, the skills that move you from entry level tasks to better paid work. Start at foundations.
AI Data Annotation Foundations
The vocabulary, rubrics, and quality habits every lab expects.
Passing AI Annotation Assessments
Why capable people fail entry tests, and how to stop.
RLHF and Model Evaluation
Preference data, output comparison, and safety judgement.
Who is hiring
Top Data Annotation
Companies Hiring in 2026
Every foundation model still needs human training data. These companies hire data annotators, RLHF trainers, and AI evaluators, and each company page lists its open roles.
$2.1B
Global Market Size (2024)
$17.1B
Projected Market (2030)
41.2%
CAGR
500K+
Active Annotators Worldwide
Swipe the table sideways for revenue, founders, and headcount.
| Company | Founded | Revenue | Valuation | Founders | HQ | Team | Status |
|---|---|---|---|---|---|---|---|
Scale AI jobs Scale AI is the leading AI data foundry behind frontier language models, autonomous vehicles, and U.S. government AI programs, providing human data labeling, RLHF, and model evaluation at scale. Official site | 2016 | $2B+ ARR | $29B | Alexandr WangLucy Guo | San Francisco, CA | 1,000+ | Unicorn |
Surge AI jobs Surge AI is a bootstrapped, zero-VC RLHF and data labeling platform built by Edwin Chen, powering frontier labs like OpenAI, Anthropic, and Google with high-quality human feedback and training data. Official site | 2020 | $1.4B+ ARR | $25B | Edwin Chen | San Francisco, CA | 100 to 150 | Hot |
Mercor jobs Mercor is an AI-native talent marketplace connecting vetted domain experts such as doctors, lawyers, and engineers directly with frontier AI labs for RLHF, evaluation, and specialized training data at massive scale. Official site | 2023 | $2B+ ARR | $20B | Brendan FoodyAdarsh HiremathSurya Midha | San Francisco, CA | 150 to 250 | Hot |
DataAnnotation jobs DataAnnotation hires remote contractors to train and evaluate AI models, from generalist review work to specialist tracks in coding, law, medicine, and finance. Its own site reports more than 100,000 contributors and over $150M paid out to date. Official site | - | Not disclosed | - | - | Remote | 100,000+ contributors | Hot |
Handshake AI jobs Handshake AI turns the career platform's network of 20M+ students, alumni, and PhD candidates into a data labeling and RLHF marketplace, supplying expert human feedback to frontier AI labs alongside its core recruiting business. Official site | 2013 | $1.1B+ ARR | $3.5B | Garrett Lord | San Francisco, CA | 1,000+ | Hot |
Micro1 jobs Micro1 is a fast-scaling AI training data platform that pivoted from its AI recruiting agent, Zara, into expert data labeling and RLHF, vetting doctors, lawyers, and engineers for frontier AI labs. Official site | 2022 | $300M+ ARR | $2.5B | Ali Ansari | Palo Alto, CA | 100 to 300 | Hot |
AfterQuery jobs AfterQuery is a Y Combinator-backed applied AI research lab building expert-curated datasets and RL environments that capture professional reasoning in law, medicine, finance, and engineering for frontier model training. Official site | 2025 | $100M+ ARR | $300M | Spencer MateegaCarlos Georgescu | San Francisco, CA | 30 to 40 | Hot |
HireCade jobs HireCade is a bootstrapped, founder-led AI recruiting and video interview platform that sources, vets, and places domain experts for AI data annotation and RLHF work with frontier AI labs. Official site | 2025 | $110 Million+ ARR | - | Ritu Ranjan | Remote | 12 | Growing |
Revenue and valuation figures come from public reports, Crunchbase, and industry estimates. Treat them as approximate, and check the company's own site before relying on any of them.
Changing careers?
Your experience counts
Labs pay more for judgement that comes from real work. An engineer is best placed to judge whether a coding model is right, and a contact centre worker has heard every way an AI agent's conversations fail. Each pathway shows the roles your background fits and the free track to get there.
Software engineer
Code and reasoning evaluation
See the pathwayContact centre and front desk
Conversational and linguistic model training
See the pathwayWriter, editor, journalist
Prompt and response writing
See the pathwayTranslator and localisation specialist
Multilingual model evaluation
See the pathwayTeacher, tutor, trainer
Reasoning grading and rubric work
See the pathwayParalegal, bookkeeper, analyst, admin
Domain expert evaluation
See the pathway
All pathways, or tell us what you do if your background is not listed.
Browse by type
Free retraining by previous career
Common questions
Data annotation jobs FAQ
What is a data annotation job?
Data annotators label text, images, audio, or video so machine learning models can learn. In 2026 that often means ranking chatbot answers, writing better responses, or checking whether an AI output is accurate and safe, not only drawing boxes on photos.
How much do data annotators make?
Pay on this board typically starts around $12/hr for entry level review work and reaches somewhere between $50 and $70/hr for senior, specialist, or on site QA. RLHF and expert domain evaluation usually sits above general labeling. Always check the listing, rates vary by company, location, and skill.
Are data annotation jobs remote?
Most roles listed here are remote, including global and US-only remote. A few specialist jobs (for example autonomous-vehicle QA) may be on-site. Use the remote jobs page to see only work-from-home listings.
How do I apply?
Open any role on DataAnnotationJobs.org to read the full description, then apply from that page. The board lists openings from companies such as Mercor, Micro1, and DataAnnotation, and the hiring decision is always the employer's. Most annotation employers screen with a short test before giving you work, so the free skills assessment and the guide to passing annotation assessments are worth doing first.
How do I move into better paid annotation work?
Specialize. General labeling and review pays least, while RLHF, code evaluation, and expert domain work in fields such as medicine, law, and finance usually pay more. The free courses, skills assessment, and evaluator certification are built to get you there, and the pathways show which specialist roles your previous work fits.
What is RLHF?
RLHF means reinforcement learning from human feedback. You compare two model answers, pick the better one, and often explain why. Labs use that preference data to align assistants. It is one of the most common well-paid remote AI trainer jobs.
Who is this for?
Anyone looking for remote AI training work, from first-time annotators to software engineers, writers, translators, teachers, paralegals, and bookkeepers moving into specialist evaluation roles. Nobody is turned away for having a different background.
Does it cost anything?
No. Searching and applying for jobs, every course, the skills assessment, the assessed certification, and placement support are all free. There is no paid tier, no card is ever requested, and we take no commission on what you earn. We are a registered 501(c)(3) non-profit.
Looking for a specific type of role? See RLHF jobs, data annotator salary, or all guides.