Head-to-head
DataAnnotation vs Remotasks
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.
DataAnnotation
RemotasksDataAnnotation vs Remotasks: the short answer
On pay, DataAnnotation is benchmarked at $25–$150+/hr; generalists $25–$50/hr and Remotasks at Per task in its app; posted projects $9–$17/hr; their boards do not state enough rates to tell which pays more, so compare against your own hours.
DataAnnotation is an expert network, gated by a screen for a degree, professional expertise, or a skills test; Remotasks is a microtask crowd, open to anyone after a short qualification, no degree or experience required.
Both hire for AI Evaluation; DataAnnotation also covers Coding, Math & STEM, Domain Experts, Writing, and Multilingual; Remotasks also covers Data Annotation and Transcription & Audio.
Bottom line: what we know does not separate these two on pay or on how many people they accept, so choose on the specific work each hires for.
| DataAnnotation | Remotasks | |
|---|---|---|
| Typical pay | $25–$150+/hr; generalists $25–$50/hr | Per task in its app; posted projects $9–$17/hr |
| Work model | Expert network · Assessment-gated contractor | Microtask crowd · Entry-level annotation (Scale AI) |
| Kinds of work | AI Evaluation, Coding, Math & STEM, Domain Experts, Writing, and Multilingual | Data Annotation, AI Evaluation, and Transcription & Audio |
| How you get paid | 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). | Weekly via PayPal or AirTM (its home page, read 4 Nov 2026). |
| Where you can work | 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). | Its home page says it is available in 90+ countries (read 4 Nov 2026) but neither it nor its working location policy lists them. Its community guidelines (effective 11 May 2026) rule out Ukraine, Cuba, Iran, North Korea, Sudan and Syria (read 4 Nov 2026), and it shut down in Kenya, Nigeria and Pakistan in March 2024. |
| Open roles now | See platform | See platform |
| Worker ratings | Trustpilot 3.9/5 (1,978 reviews) (read November 2026) | See its review |
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 people with a degree or professional skills who want vetted, higher-skill work.
Best for steady entry-level task work you can pick up without credentials.
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.
Weekly roles email
Get new AI training jobs by email
The newest paid roles across every platform we track, with real hourly pay, in one weekly email. Free, and unsubscribe anytime.
We email new roles, not spam. One click to unsubscribe.
DataAnnotation vs Remotasks: common questions
Which pays more, DataAnnotation or Remotasks?
On pay, DataAnnotation is benchmarked at $25–$150+/hr; generalists $25–$50/hr and Remotasks at Per task in its app; posted projects $9–$17/hr; their boards do not state enough rates to tell which pays more, so compare against your own hours.
Is DataAnnotation or Remotasks easier to get started with?
DataAnnotation is an expert network, gated by a screen for a degree, professional expertise, or a skills test; Remotasks is a microtask crowd, open to anyone after a short qualification, no degree or experience required.
Can you work on both DataAnnotation and Remotasks?
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. 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.