AI models are only as good as the expertise behind them.
See which fields are in demand right now on DataAnnotation.
Apply now: app.dataannotation.tech/shar…
No resume. No recruiter screen. Pass the assessment, and you choose your own projects, log time in the platform, and request a payout whenever you like.
Generalist starts at $25–$50, coding at $75–$150+/hr.
See if you qualify: dataannotation.tech/?project…
DataAnnotation's multilingual track turns expertise into paid, career-building projects. Contributors apply real translation and localization judgment, sharpening it further with every project they take on.
Explore the multilingual track.
Accounting professionals catch what AI misses: misread balance sheets, misapplied regulations, flawed financial reasoning. That's the work.
Starts at $50-$60+/hr. No minimums, no set schedule.
Apply to DataAnnotation: dataannotation.tech/?project…
Building an AI career doesn't require starting over. Bring your expertise, work directly with frontier models, and earn premium pay for it.
See how DataAnnotation can help advance your career with AI.
Patient safety starts with who trains the AI. DataAnnotation works with medical professionals shaping how healthcare AI responds, starting at $50-$60+/hr.
Hear directly from our medical contributors.
Code review is a skill that compounds. On DataAnnotation, evaluate real code in Python, JavaScript, and more, developing the judgment of a senior engineer. Coding projects start at $50-$100+/hr.
Link in bio to get started.
Your expertise, whatever field it's in, can help train the next generation of AI.
We're looking for experts in software, medicine, law, finance, writing, translation, and more. Earn premium pay for real-world knowledge.
Data labeling and AI training aren’t the same job. DataAnnotation contributors do the latter, at rates that reflect it.
Swipe through to see what sets them apart.
Smarter than AI? Prove it.
Your judgment as a writer, educator, or researcher is exactly what today's AI models are missing.
Earn $25+/hr training AI.
Apply now → Link in bio.
The biggest thing standing between qualified people and AI training work at DataAnnotation isn't the assessment. It's what they assume about it. We set the record straight.
Most platforms ask a lot and give little back. Our commitment runs both ways. We stay selective because AI training depends on your judgment, and that's respect: the work is serious, and so is your expertise.
Here's what we've committed to on our end.
Your legal training is worth more than you think. Law contributors start at $50/hr evaluating AI responses, comparing outputs, and flagging errors in legal reasoning on DataAnnotation.
See what they're saying.
Every correction you make teaches the next generation of AI to reason like an expert, and then it’s deployed to millions. Expertise, not volume.
See why the work matters.
No fixed shifts on DataAnnotation. Pick your projects, set your hours, and balance high-paying priority work with lighter projects.
Here's what a productive session might look like.
Open roles across every domain.
DataAnnotation is actively seeking contributors in STEM, generalist, coding, professional, and bilingual fields.
Find yours at dataannotation.tech/
Most remote platforms keep rates low by design. More contributors, more supply, lower pay.
DataAnnotation works the opposite way: a selective contributor pool, premium projects, and rates that reflect what skilled work is actually worth.
Premium pay follows premium work.
Remote, flexible, and built around your expertise.
The projects you contribute to shape how AI reasons, responds, and makes decisions.
Here's what DataAnnotation contributors actually work on.
Strong writing and critical thinking pay $25-$30+/hr at DataAnnotation. Evaluate AI responses, compare outputs, and flag errors. Work that requires real reasoning, not mindless clicking.
See what our generalist contributors are saying.
Not everyone qualifies for DataAnnotation. Those who do often underestimate what it demands.
This opportunity suits researchers, professionals, students, and independent contributors who thrive on analytical work and want to contribute to advancing AI systems.
Apply today.
Language fluency is in high demand in AI training.
DataAnnotation connects native speakers worldwide with multilingual projects that need real cultural and linguistic judgment — starting at $20-$50+/hr.
Hear from our contributors.
Most AI training platforms offer remote work. Few offer work that actually fits your life — and rewards you for the expertise you bring to it.
No signup fees. No minimum hours. No check-in culture. Work matched to your actual skill level.
See what DataAnnotation can do for you.
AI models are only as good as the data they learn from.
The annotation industry treats this as a volume problem. DataAnnotation treats it as an expertise problem.
General projects start at $25-$30+/hr. Professional projects start at $50-$100+/hr.
To learn more → link in bio.
Finance credentials pay $50-$60+/hr in AI training.
DataAnnotation matches finance professionals to projects that use their domain knowledge. No minimum hours, no signup fees. One Starter Assessment at sign-up — no retakes, so review carefully before submitting.
Link in bio.
DataAnnotation is selective by design.
Not for guaranteed approval seekers. It’s for professionals with the expertise to evaluate complex outputs, not just complete mechanical tasks.
Here's what pushes workers to the top compensation tier.
Get paid for what you actually know.
DataAnnotation projects start at $25-$30+/hr while domain experts earn $50-$100+/hr.
Remote. Flexible. No signup fees.
Apply to DataAnnotation. Link in bio.
Coders at DataAnnotation earn $50-$100+/hr on their own schedule.
Evaluate code, debug AI-generated files, and assess AI performance across Python, JavaScript, C++, and more — work that actually uses your skills.
See what our coders have to say → Apply to DataAnnotation.
DataAnnotation matches 100,000+ contributors to projects that use their actual expertise. Strong critical thinking. Real domain knowledge.
Find your edge. → Apply to DataAnnotation.