Earn money training AI in 2026: top 8

Major AI labs pay humans to evaluate their models, write ideal examples, and correct responses. It has become a real labour market. Here are the top platforms in 2026, ranked by pay range and accessibility.

Why it pays

Models like ChatGPT, Claude or Gemini need humans for two things: generating ideal-response examples (SFT) and rating model outputs to push them to do better (RLHF). This work requires real expertise. The deeper your skill (code, law, medicine, finance, math), the higher you get paid.

How much can you really earn?

On accessible platforms (Remotasks, Toloka), expect $200-600/month on the side. On DataAnnotation, $800-1500/month at 10-15h/week. On Mercor or Alignerr with real expertise, $2000-6000/month is realistic within a few months, and top experts clear $10000/month.

Premium platforms ($30-200/hr)

Mercor

Mercor: Elite AI training jobs for experts in coding, law, medicine, finance. Typical pay range: $30-200/hr.

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Alignerr

Alignerr: RLHF, expert evaluation, domain expertise (medical, legal, technical). Typical pay range: $20-60/hr.

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DataAnnotation

DataAnnotation: Accessible AI training tasks: writing, coding, math evaluation. Typical pay range: $20-40/hr.

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Outlier (Scale AI)

Outlier (Scale AI): RLHF at scale, multilingual, technical projects across many domains. Typical pay range: $15-50/hr.

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Accessible platforms ($3-50/hr)

Surge AI

Surge AI: Premium annotation, often by invitation only. Typical pay range: $15-50/hr.

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Remotasks

Remotasks: High volume image/video annotation, 3D point clouds. Typical pay range: $3-25/hr.

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Toloka

Toloka: Diverse microtasks, multilingual, global availability. Typical pay range: $3-20/hr.

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Prolific

Prolific: Academic research studies, surveys, behavioural experiments. Typical pay range: $10-20/hr.

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Before you start: open a multi-currency account

All these platforms pay in USD. If you receive payments on a regular EU/UK bank account, FX fees eat 3-5% of every transfer. I recommend opening a Revolut account (free, multi-currency, real-rate conversion) before you start working.

Open a Revolut account (referral link) →

How it actually works

The standard process

1. Apply via a form (CV, sometimes cover letter).
2. Take a test: usually a sample of graded tasks.
3. If you pass, you get onboarded and receive your first missions.
4. You're paid by the hour or per task, usually weekly.

Tips to maximise your chances

• Polish your English-language CV. All serious platforms are anglophone.
• Lead with specific expertise. Generalists earn less.
• Apply to 3-4 platforms in parallel. Mission flow fluctuates.
• Be honest about your level. Tests filter inflated CVs.

Frequently asked questions

Do you need to be a developer?

No. The best-paid are often domain experts (lawyers, doctors, finance professionals, math teachers) rating model answers in their field.

Is the income taxable?

Yes. These revenues are taxable as self-employment income. Set up the right structure in your country (sole proprietorship, LLC, etc).

Why does it pay so well?

Expert shortage is massive. Labs compete directly and pay above market to attract competent reviewers.

Is it sustainable?

The market is exploding ($15B in 2025, projected $30B in 2027). The push toward specialised models only increases demand. Short term: rock solid. Long term: diversify like any income stream.

Going further: finding a remote job

These AI-evaluation platforms are great as a complement, but they don't replace a stable remote job. For remote job search, two resources I recommend:

• slateremote.com — a remote tech job board refreshed daily. Ideal if you're looking for a full-time or long-term freelance role with a distributed team.
• slowmadly.com — country guides for nomads who settle in for a month, a season, or a year. Cost of living, digital-nomad visas, tax frameworks, Wi-Fi quality: all documented country by country.

AI moves fast, remote work moves faster. Stack both: a stable remote job plus AI-evaluation income on the side, and you live wherever you want.