Head-to-head
Handshake AI vs DataAnnotation
Which pays more, which is easier to start, and which fits the work you want. Compared on real pay, work model, payout, and the roles open right now.
Handshake AI
DataAnnotationHandshake AI vs DataAnnotation: the short answer
, AITraining.jobs lists 186 open Handshake AI roles (typical pay $80 to $215 an hour, median $110) and 133 open DataAnnotation roles (typical pay $30 to $125 an hour, median $80).
Handshake AI pays more on typical work ($80-$215/hr typical (live median $110) vs DataAnnotation's $30-$125/hr typical (live median $80)), a 62% chance on the rates the two boards state, and its ceiling is higher too.
Handshake AI is easier to get into: of the people we know applied, about 6.5% are accepted there against 6.2% at DataAnnotation (a 52% chance it really accepts more). Both are expert networks: gated by a screen for a degree, professional expertise, or a skills test.
Both hire for AI Evaluation, Coding, Math & STEM, Domain Experts, and Writing; Handshake AI also covers Agentic & RL Envs; DataAnnotation also covers Multilingual.
Right now Handshake AI has more live roles (186 vs 133).
Bottom line: Handshake AI both pays more and is easier to start on here, so it is the default pick; choose DataAnnotation if its specific work (AI Evaluation, Coding, Math & STEM, Domain Experts, Writing, and Multilingual) fits you better.
| Handshake AI | DataAnnotation | |
|---|---|---|
| Typical pay | $80-$215/hr typical (live median $110) | $30-$125/hr typical (live median $80) |
| Work model | Expert network · Credentialed US talent | Expert network · Assessment-gated contractor |
| Kinds of work | AI Evaluation, Coding, Math & STEM, Domain Experts, Agentic & RL Envs, and Writing | AI Evaluation, Coding, Math & STEM, Domain Experts, Writing, and Multilingual |
| How you get paid | Weekly through Stripe (set up in Handshake AI): Handshake sends each Monday-to-Sunday week's pay to its pay partners by Wednesday afternoon; a W-9 or W-8BEN is required (Handshake AI support, read 2026-10-14). | PayPal; deposits arrive within a few days of a payout request (its FAQ), and its job pages list payouts as weekly (read 2 Nov 2026). |
| Where you can work | Primarily US-based with valid work authorization (F-1 students may qualify); some international SWE roles. | Its FAQ names no country list (it says it connects over 1 million contractors globally) and its job pages say only 'Remote' (both read 2 Nov 2026), but worker reports point to six countries: the US, Canada, the UK, Ireland, Australia and New Zealand (read 18 Oct 2026). |
| Open roles now | 186 live | 133 live |
| Worker ratings | Trustpilot 1.7/5 (32 reviews) (read November 2026) | Trustpilot 3.9/5 (1,978 reviews) (read November 2026) |
Pay shows each platform's live measured band where its feed has enough hourly-stated roles, otherwise our compiled benchmark. How we compile pay.
Best for professionals and specialists chasing the highest rates.
186 open roles now →Best for people with a degree or professional skills who want vetted, higher-skill work.
133 open roles now →Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you.
How their pay compares with the market
Handshake AI. On 11 Nov 2026, 99.5% of its open roles stated an hourly rate. Their 7 distinct advertised rates (178 more are only an advertised maximum, "up to $X/hr", left out) have a median of $110/hr and typical pay of $80 to $215/hr, against a median of $40/hr across other platforms' rates.In Red-Teaming & AI Safety, the one kind of work where both Handshake AI and other platforms state enough rates to compare, its median is $95/hr against $50/hr (+90.0%). Handshake AI Hiring Data
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Handshake AI vs DataAnnotation: common questions
Which pays more, Handshake AI or DataAnnotation?
Handshake AI pays more on typical work ($80-$215/hr typical (live median $110) vs DataAnnotation's $30-$125/hr typical (live median $80)), a 62% chance on the rates the two boards state, and its ceiling is higher too.
Is Handshake AI or DataAnnotation easier to get started with?
Handshake AI is easier to get into: of the people we know applied, about 6.5% are accepted there against 6.2% at DataAnnotation (a 52% chance it really accepts more). Both are expert networks: gated by a screen for a degree, professional expertise, or a skills test.
Can you work on both Handshake AI and DataAnnotation?
Yes. They are independent platforms, and many contributors join several at once to keep a steady flow of work, especially since both hire for AI Evaluation, Coding, Math & STEM, Domain Experts, and Writing. Signing up for one does not affect the other.
More comparisons
Ordered by what applying to their platforms is worth, lifted by a referral boost for a platform that pays us a referral fee; it never changes what a platform pays you.