Every time an AI chatbot gives you a good answer, there’s a decent chance a real person got paid to help make that happen. Companies building AI models need huge amounts of human judgment to make their systems more accurate, safer and less annoying to use — and increasingly, that judgment comes from freelancers working from home.
This isn’t a side hustle myth — it’s one of the more unusual side hustles out there, and one most lists skip. Here’s exactly how it works, which platforms are worth your time, and what you can realistically expect to earn.
“Training AI” sounds technical, but for most contributors, it doesn’t involve writing code. It means doing one of a handful of tasks:
Companies call this a lot of different things — data annotation, human feedback, RLHF (reinforcement learning from human feedback), model evaluation — but it’s all a version of the same idea of humans grading and guiding AI so it gets better.
The specifics vary, but nearly every platform in this space follows the same basic path:
The biggest lever on your pay, across every platform, is expertise. A generalist with strong English writing skills can earn a reasonable hourly rate; someone with a law degree, coding background, nursing license or CPA can often earn two to five times as much doing the same kind of evaluation work in their specialty. If you’re weighing this against other flexible, remote ways to make some extra money, the main trade-off is that AI training pays better per hour than most, but it usually asks more of your qualifications, time or attention in return.
Requirements vary by platform and role, but most of what you need is the same across the board:
| Platform | Best for | Typical pay | How you’re paid |
|---|---|---|---|
| DataAnnotation | Generalists and specialists (coding, legal, medical, finance, languages) | $25–$50/hr generalist; $60–$150+/hr specialist roles | Weekly |
| Outlier AI | Subject-matter experts with at least an associate degree | Varies by project and location; shown before you start | Weekly, on Tuesdays (PayPal, Airtm or ACH) |
| Mindrift (formerly Toloka) | Beginners on simple tasks, with paid-up routes into specialized work | Fixed reward per task, shown before you start | Twice monthly (Payoneer or PayPal via Tipalti) |
| Prolific | People willing to take part in research studies and surveys | Minimum $8/hr enforced platform-wide | Per completed, approved study; cash out at $6 |
| Mercor | Business, healthcare, software and other credentialed professionals | $50–$200+/hr depending on field and expertise | Weekly (Stripe or Wise) |
| CrowdGen (by Appen) | Generalists and domain experts, from a long-established company | Top rate $100+/hr; varies by location and skill | Monthly (bank transfer, PayPal, Payoneer or Airtm) |
| Alignerr (powered by Labelbox) | Selective, credentialed experts (coding, STEM, audio, languages) | $25–$150+/hr depending on role; $80/hr average, per Alignerr | Weekly, following Friday (Stripe or PayPal) |
What it is: A platform matching contributors to remote, contract “AI training” roles across dozens of specialties, from generalist work to coding, law, medicine, finance and languages.
How it works: You apply, and roles are organized by track — Generalist, Coding, Legal, Medical, Finance, Accounting, Languages and more. Each role listing shows an hourly pay range and how many people the platform recently hired for it.
What you need: Generalist roles don’t require a coding or technical background. Specialist roles (software engineer, attorney, physician, accountant and so on) require a matching professional or academic background.
How much you can earn: According to DataAnnotation’s own job board, generalist roles post $25 to $50 an hour. Specialist roles vary by field: most (legal, medical, finance, accounting) post $60 to $125-plus an hour, while coding and technical roles (software engineer, data scientist) top out higher, at $75 to $150-plus an hour. DataAnnotation’s own marketing copy elsewhere on the site advertises a broader “$20–$60+/hr” range, which is lower than the live job board figures — the job board is the more current and specific of the two.
How you’re paid: Weekly.
What it is: Scale AI’s AI training and evaluation platform, connecting subject-matter experts with AI companies that need human feedback to improve their models.
How it works: Depending on your expertise, you may generate prompts, rank AI outputs, or improve model responses. Onboarding takes 30 to 90 minutes and includes general account setup plus project-specific qualification.
What you need: At least an associate degree, per Outlier’s own FAQ; some projects require a bachelor’s, master’s or PhD depending on complexity. You’ll need a valid ID, a current resume and a LinkedIn profile.
How much you can earn: Outlier doesn’t publish a fixed rate card — pay varies by expertise, project complexity and location, and you’ll see the exact tasking rate before you start any project.
How you’re paid: Weekly, on Tuesdays, for work completed the prior Tuesday-through-Monday cycle. Outlier pays via PayPal, Airtm or ACH bank transfer.
Worth knowing: You work as an independent contractor, not an employee, and Outlier does not sponsor work visas.
What it is: A task-based AI training platform. Toloka’s contributor-facing tasks — previously branded Toloka and Toloka Annotators — have moved onto a single platform called Mindrift, where existing Toloka accounts, balances and history carry over automatically.
How it works: You start on “All-access” tasks open to everyone, things like evaluating AI responses, comparing outputs, or judging search relevance. As you add skills and pass qualifications, you unlock “Specialized” projects that pay more.
What you need: Nothing to get started on All-access tasks. Specialized, higher-paying work requires passing qualification tasks tied to your background.
How much you can earn: Mindrift sets rewards per project based on scope, complexity and required expertise, and every task shows a fixed reward before you start.
How you’re paid: Twice a month — cycles run from the 1st to the 15th and the 16th to the end of the month, and Mindrift processes payouts on the 5th and 20th. Payment goes through Mindrift’s partners, Payoneer or Tipalti (for PayPal).
What it is: A research participation platform where academic and commercial researchers — including AI labs and machine learning teams — pay people directly for completing studies, surveys and data-labeling tasks.
How it works: After signing up (often via a waitlist) and completing ID verification, you’ll see studies you’re eligible for on your dashboard, along with the pay and estimated time before you start. Once a researcher approves your submission, they pay you.
What you need: Nothing beyond signing up and verifying your identity — no specific credentials, though some studies use “pre-screening” criteria that determine who’s eligible.
How much you can earn: Prolific requires researchers to pay a minimum of $8 an hour (or £6), and recommends a minimum of $12 an hour, though researchers set the actual reward for their own study.
How you’re paid: You cash out to PayPal once your balance reaches $6; after your first four cash-outs, transfers happen instantly.
What it is: A platform connecting credentialed professionals — in software engineering, finance, healthcare, HR, operations and more — with AI labs that need expert-level human judgment to train and evaluate frontier models.
How it works: You complete a one-time assessment (Mercor describes a roughly 20-minute, AI-driven interview) that qualifies you for a range of roles across the platform, rather than requiring a new assessment for each project.
What you need: Real professional experience in your field — Mercor’s listings typically ask for five-plus years in your function, plus relevant credentials where applicable (CPA, CFA, SHRM-SCP and similar).
How much you can earn: Rates vary by function. Mercor’s own pages cite $50 to $100-plus an hour for business roles (with task-based work up to $1,000 per deliverable), $50 to $180 an hour for healthcare professionals and $80 to $200 an hour for software engineers.
How you’re paid: Weekly, via Stripe or Wise.
What it is: The contributor platform of Appen, a publicly traded data company (ASX: APX) that has supplied AI training data since 1996. Per its own site, 80% of the world’s leading LLM builders are Appen customers.
How it works: You create a profile, and the platform matches you to projects — general microtasks (search evaluation, transcription, content verification) as well as domain-expert work through CrowdGen Experts, which recruits specialists such as mathematicians, physicists and physicians.
What you need: Most projects have a qualification process, but CrowdGen states that most don’t require a technical background, just domain expertise where the project calls for it.
How much you can earn: CrowdGen advertises a top hourly rate of $100-plus, though it notes pay depends on your location and skills. Rates are shown on each project before you start.
How you’re paid: Monthly, not weekly — CrowdGen reconciles earnings at the end of the first week of each month and processes payments by the 14th, via bank transfer, PayPal, Payoneer or Airtm depending on your region.
What it is: A more selective AI training platform run by Labelbox, positioned toward credentialed experts rather than a broad, open-to-everyone crowd.
How it works: After creating a profile and applying to specific job listings, you verify your identity (Labelbox’s own onboarding page describes phone and government-ID verification through its partner, Persona), then complete any job-specific requirements, which can include an AI-led interview or a domain assessment.
What you need: Alignerr’s own site states it’s hiring PhDs, researchers, subject-matter experts and experienced professionals across disciplines, including audio, coding, general and STEM roles.
How much you can earn: Alignerr’s own site states an average pay of $80 an hour, with individual roles posting $25 to $150-plus an hour depending on the field.
How you’re paid: Weekly, per Labelbox’s own help center — the billing cycle runs Monday to Sunday, and payment lands by the following Friday via Stripe or PayPal (only one is enabled per country).
Two payment structures show up across these platforms, and it’s worth knowing the difference before you start:
Every platform above shows you the pay before you commit to a task or project.
A few patterns hold across nearly every platform on this list:
Every platform in this piece is a real, verifiable company — but the “get paid to train AI” space attracts scam clones and fake recruiters that copy legitimate platforms’ branding. A few checks keep you safe:
Every platform above treats contributors as independent contractors, not employees — which changes how you handle taxes.
According to the IRS, if you work as an independent contractor, that income generally counts as self-employment income, which you report on Schedule C (Form 1040). If your net self-employment earnings are $400 or more in a year, you’ll also need to file Schedule SE to calculate Social Security and Medicare tax on that income. Because none of these platforms withhold tax from your pay the way an employer would, you may need to make quarterly estimated tax payments to avoid a penalty for underpayment.
You may receive a Form 1099-NEC from a platform that paid you nonemployee compensation above the reporting threshold, but even if you don’t receive one, you still have to report the income. This is general information, not tax advice. A licensed tax professional can walk you through what applies to your specific situation.
AI training work isn’t the only flexible option out there. Depending on your skills and how much time you have, it’s worth exploring:
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