Curated opportunity · Reviewed 20 July 2026

Powers 90% of World's Top AI Models

Scale AI · Trusted by Meta, Mayo Clinic, US Gov
100% RemoteSince 2016NewPay: Premium

Opportunity overview

Scale AI is one of the most established names in AI training data, founded in 2016 and used by many major AI labs. As the most well-known platform on this list, expect higher applicant volume and correspondingly more competitive task qualification.

Who this may suit

Anyone wanting to start with a recognizable, widely-used platform

Typical requirements

Account sign-up plus task-specific qualification tests

Requirements can vary between projects or individual openings. Treat this summary as a starting point and use the destination page as the current source of truth.

What to check before applying

Popular task categories fill fast — check back regularly for new openings

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Getting started with Scale AI

Best suited for: Anyone wanting to start with a recognizable, widely-used platform. Before applying, check what the role typically expects: Account sign-up plus task-specific qualification tests. Scale AI runs this as freelance, project-based work, which is the more common structure across AI trainer jobs generally — expect a short entry assessment before you can start accepting paid tasks.

Where Scale AI fits among human feedback jobs

Scale AI is one of the most established names in AI training data, founded in 2016 and used by many major AI labs. As the most well-known platform on this list, expect higher applicant volume and correspondingly more competitive task qualification. Within the wider AI trainer jobs category on this list, Scale AI is worth comparing against similar listings if you are cross-applying to several platforms rather than relying on a single source of income. Popular task categories fill fast — check back regularly for new openings. As with any platform in this space, treat advertised pay as a range tied to specific task types rather than a guaranteed flat rate, and re-check the official listing periodically since openings and availability change often.