500K+ contributors worldwide
Get paid for what you already know.
Whether you’re a gamer, a graduate, or an engineer – we have work for you. From everyday know-how to specialized expertise, we’ve got projects live right now. Train AI on your own schedule — apply in minutes.
- 500K+ contributors globally
- 100+ language pairs supported
- Premium rates for verified experts
- Fully remote
- Work on your own schedule
AI training domains
Find your field.
Most of our work doesn’t require a credential — it requires a human perspective. Whether you’re bringing everyday knowledge or elite domain expertise, there’s work here for you.
✏️
Everyday Knowledge
Your language, culture, phone habits, lived experience — this is exactly what AI needs. No credentials required.
⚖️
Law
Review case law, contracts, and legal reasoning in AI outputs.
💻
Coding
Debug AI-generated code and build technical training datasets.
🔬
Medicine
Ensure clinical accuracy and safety in health-focused AI.
📐
Mathematics
Verify proofs and the formal correctness of AI solutions.
💰
Finance
Evaluate market models, risk assessments, and quantitative reasoning.
🌐
Linguistics
Evaluate cross-language AI for fluency and cultural accuracy.
⚛️
STEM
Apply scientific rigor to evaluate complex technical outputs.
Infrastructure built for this work.
A purpose-built system for managing, qualifying, and paying AI contributors at scale. No corporate branding, no friction. Just work.
Where your expertise goes
Beyond language models.
AI is moving into every high-stakes domain. The work contributors do here shapes systems that reason about physical reality, autonomous action, and clinical decisions — not just text.
Language models
The foundation of frontier AI
Large language models power everything from legal research tools to diagnostic assistants. Getting them right requires experts who can catch what plausible-sounding actually means in a specific field — and where it quietly goes wrong.
Domains active now
- Law
- Medicine
- Coding
- Mathematics
- Finance
- Linguistics
- STEM
Agentic AI
AI that acts, not just answers
Agentic systems take sequences of actions — browsing the web, writing and running code, managing files, making API calls — to complete complex tasks autonomously. Evaluating them requires understanding not just whether the output is correct, but whether the reasoning chain and tool use were sound.
What contributors evaluate
- Planning chains
- Tool use
- Error recovery
- Decision quality
- Safety boundaries
Robotics & embodied AI
AI that moves through the world
Embodied AI systems need to reason about physical space, object manipulation, and real-world consequences. Contributors with engineering, robotics, or physics backgrounds evaluate task planning and spatial reasoning in simulation environments — tasks that require an understanding of how the physical world actually works.
What contributors evaluate
- Task planning
- Spatial reasoning
- Physical constraints
- Instruction following
Autonomous vehicles
Safety-critical decision making
Autonomous vehicle systems encounter edge cases that test the boundaries of what any training dataset anticipated. Contributors evaluate perception outputs, scenario reasoning, and safety-critical responses — work where a missed error has real consequences.
What contributors evaluate
- Perception outputs
- Edge case reasoning
- Safety responses
- Scenario evaluation
Medical imaging AI
Clinical AI at the highest stakes
AI interpretation of radiology, pathology, and diagnostic imaging is among the highest-stakes AI work in existence. Evaluation requires clinical qualification — radiologists, pathologists, and specialist physicians who can identify where AI sees what isn’t there, or misses what is.
What contributors evaluate
- Radiology outputs
- Diagnostic accuracy
- False positive review
- Pathology grading
Multimodal AI
AI that sees, hears, and reads
Frontier models increasingly process images, audio, video, and documents alongside text. Multimodal evaluation assesses whether AI correctly interprets non-text inputs and integrates them into coherent reasoning — a growing and underserved area across virtually every domain.
What contributors evaluate
- Image understanding
- Audio review
- Cross-modal reasoning
- Document parsing
Why aitrainers.tech
Selective by design.
Not everyone gets in — and that’s the point. We pay a premium for contributors committed to high-quality work.
01 · The opportunity
Earn more. Learn faster.
Whether you’re a specialist or someone with everyday knowledge, you earn on work that builds AI literacy. Your expertise — whatever form it takes — compounds over time.
02 · The work
Your knowledge is the product.
You’re not just labelling data. You’re helping AI understand language, culture, and real-world reasoning — work that requires a human who actually lives it.
03 · The community
Peers, not a crowd.
Contributors here range from native speakers and cultural experts to researchers and domain specialists. Not everyone gets in. Your co-contributors take this seriously — and so do we.
04 · The flexibility
Output-measured. Schedule-free.
Work when you want, as much as you want. No fixed hours. Performance is measured by quality of output, not time logged.
The work
What you’ll actually be doing.
No AI background required. All you need is knowledge — of your language, your culture, your field, or your profession — and the willingness to apply it.
01 · The role
You teach. AI learns.
You evaluate how well AI understands the world — whether that’s a legal brief, a cultural nuance, a phrasing that sounds off in your language, or a chemistry proof. Your human perspective is the training data.
02 · The challenge
The work is engaging.
Projects are matched to what you know, so the work already aligns with your perspective. AI can generate plausible-sounding responses. Only a human who actually knows the subject can tell when something is subtly wrong.
03 · The impact
One review. Millions reached.
Every annotation you write becomes part of how AI systems reason. When you correct a flawed physics derivation, that correction propagates to millions of future interactions worldwide.
Our process
Apply → Get paid. Four steps.
A clear, structured path from application to first project. No ambiguity, no waiting.
1
Apply
Submit your application and tell us what you know — your languages, background, or areas of expertise. Routed to the right work automatically.
2
Assessment
Complete a skills evaluation aligned with your expertise. This keeps the contributor pool selective and pay rates premium.
3
Projects
Access projects matched to your skills. Work whenever you want, as much as you want. No minimum hours or fixed schedule.
4
Get paid
Payment is issued after each completed project and withdrawn directly to your account. No waiting cycles.
Not sure if you qualify? You probably do.
If you use a smartphone, speak a language fluently, or have professional expertise — there’s work here for you.
What contributors say
Peers, not a crowd.
Real feedback from the people doing the work.
“I definitely like the fact that I can work whenever I want. Also, there are no meetings, no reports to be done, just work, on my own terms, as time and amount.”
Maricela
Bucharest, Romania
“Schedule flexibility. I’m a father of two and need this flexibility to achieve both roles of father and worker.”
Maximiliano
Buenos Aires, Argentina
“Leave your 9-to-5 job! Legit payment and professional management. Most remote jobs are just a myth, but working with Welo Data is real and pays on time.”
Shamyra
Tangerang, Indonesia
“I really like the flexibility of your company. The best thing about working for us is that we are not restricted by time or location.”
Haruka
Sapporo, Japan
FAQ
Common questions.
What kind of projects will I work on?
We offer a wide range of AI training and evaluation projects depending on your skills. Examples include: AI safety and harm rating, search relevance evaluation, multilingual data annotation, content quality review, audio/video/multimodal annotation, LLM reasoning and comparison tasks, and technical, cultural, and linguistic assessments. Every project you work on directly improves how AI understands language, culture, content, and real-world context.
How and when do I get paid?
You’ll be paid for the tasks and project work you complete, with compensation varying by task type, complexity, and project volume. Payments are issued regularly through secure, verified online payment platforms. Your exact payment method, frequency, and earnings visibility will be confirmed during your project onboarding.
How flexible are the hours?
Fully flexible, remote-friendly project work is available across most roles. You choose when you work, how often you work, and how many tasks you complete — making this a great option for people seeking part-time, supplemental, or schedule-friendly AI work.
What equipment do I need?
You’ll need a computer or laptop, a stable internet connection, and a modern web browser. Some specialized projects may require additional language skills, software, or technical experience — any extra requirements will be shared before you begin.
How can I spot a scam?
We will never ask you to pay fees, purchase equipment, or share sensitive personal information outside our secure platforms. Always verify the job is listed on our official job board and that you receive an official agreement before beginning work. If something feels off, trust your instincts and do not proceed. Read our full guide on recognising scams →
Get paid for what you already know.
No recruiters. No interviews. Meaningful work and real compensation — on your schedule.