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AI tutor, RLHF, evaluation, red-teaming and annotation roles from AI labs and data companies — remote, often flexible hours, with your expertise as the main requirement.
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AI tutor, RLHF, evaluation, red-teaming and annotation roles. Updated daily from employers' career pages.
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Posted 1 day ago
AI Tutor - Serbian
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Korean
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Russian
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - German
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - French
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Portuguese
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Norwegian
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Yoruba
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Romanian
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Posted 1 day ago
AI Tutor - Software Engineering
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not....
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Career context
Your expertise is what the models are missing
AI trainers write, rank and correct the answers that large language models learn from. Labs need people who really know a subject — a language, coding, law, medicine, mathematics, security — to judge whether a model's answer is right, safe and well explained. That work is called RLHF (reinforcement learning from human feedback), evaluation, red teaming or data annotation depending on the company, and most of it is done remotely.
The roles listed here come from the companies' own career pages — AI labs and AI data companies hiring tutors, trainers, evaluators and annotators. Some are full-time, many are contracts paid by the hour. Read each listing for the language, location and expertise required: the best-paid roles ask for proven domain depth, not general typing speed.
Why RemoteAI
Built for AI specialists.
Not general job boards.
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
AI-only job listings
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
Direct access to hiring teams
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Always free for candidates
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Salary shown upfront
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Fully remote positions
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Full application tracking
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
How to find an AI trainer job on RemoteAI
Pay depends mostly on the expertise asked for: general evaluation and annotation contracts usually pay by the hour at entry rates, while specialist roles (coding, STEM, law, medicine, rare languages, security red teaming) pay several times more. Each listing shows what the company published.
Lead with your domain
Say exactly what you can judge: "native Finnish, translation background", "senior Python developer", "registered nurse". AI training roles are matched on expertise first.
Show careful, written reasoning
Most assessments ask you to explain why one answer is better than another. Clear, structured writing and attention to detail are the core skills — mention examples of review, editing or teaching work.
Apply on the company's own page
Each listing links to the employer's official application. Legitimate AI training work never asks you to pay a fee to apply or to buy equipment.
Profile guide
How to stand out as an AI trainer
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Deep subject knowledge
A degree, profession or years of practice in one field — coding, maths, medicine, law, finance — is the strongest signal. Generalist roles exist, but specialists are paid more and hired faster.
Languages
Native or near-native fluency in a language other than English is in high demand: labs train models in dozens of languages and hire tutors for each one.
Precise writing
Models learn from what you write. Clear explanations, correct grammar and consistent formatting matter more here than in almost any other remote job.
Following guidelines
Annotation and evaluation projects come with detailed instructions. Showing that you apply long guidelines consistently is what keeps you on a project.
Security or safety background
Red teaming roles look for people who can think like an attacker — cybersecurity, fraud, or trust and safety experience is valued.
Reliability
Many projects are paid per task with quality checks. A record of steady, accurate output leads to more and better-paid work.
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FAQ
Questions about remote AI trainer jobs
Everything you need to know before applying for your first AI trainer role.
An AI trainer helps improve AI models by writing example answers, ranking or correcting model responses, checking facts and safety, and labelling data. Companies call the role AI tutor, AI trainer, RLHF specialist, evaluator, rater, red teamer or data annotator. The common thread is human judgment: you decide what a good answer looks like in your area of expertise.
Not always. Many roles need expertise in a subject or a language rather than programming — for example AI tutors for a specific language, or evaluators for medical, legal or financial answers. Coding-focused roles do need real programming experience. Read the requirements of each listing: they say which expertise is expected.
Pay varies a lot with the expertise required. Entry-level evaluation and annotation contracts are usually paid by the hour at modest rates, while specialist roles — coding, STEM, medicine, law, rare languages, security red teaming — pay considerably more. Full-time roles at AI labs publish salary ranges on the listing when the employer provides them.
Most are remote, and many contract roles let you choose your hours. Some require a specific country of residence or time zone for legal or language reasons — each listing shows the location the employer accepts.
Apply through the company's official career page (every listing here links to it), never pay a fee to apply, never buy equipment or "training kits", and be wary of offers that arrive by private message without an interview or assessment. Real AI training work starts with an application and usually a skills test.
Yes. Creating a profile, browsing roles and applying are free. RemoteAI takes no cut of your pay.
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