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Scale AI and Mercor both sit at the higher end of the AI work market, but they serve fundamentally different worker profiles. Scale AI is a data annotation powerhouse — it recruits broadly, handles massive AI training pipelines, and pays well for skilled reviewers with domain expertise in coding, math, or science. Mercor is a talent-matching platform designed to connect vetted engineers directly with AI labs for contract work.
The key distinction: Scale AI tasks are project-based, task-by-task annotation work, while Mercor places workers into ongoing contracts with AI research organizations. If you want flexible annotation income, Scale AI is the better fit. If you want a stable ongoing engagement with an AI lab, Mercor is the path.
Pay Range
$15-60/hr
Reliability
Very ReliableOnboarding Time
3-5 days
Payment Frequency
weekly
Best For
Workers looking for consistent AI training tasks
Pros
Scale AI pays $20–50/hr for most annotation and RLHF work, with specialized coding and scientific review tasks occasionally exceeding $50/hr. Payments are weekly and the platform has an excellent reliability record. The pay range reflects a broad worker base — general annotators earn at the lower end, domain experts earn significantly more.
Mercor pays $30–150/hr, with the floor already above Scale AI's typical ceiling for general work. Mercor's rates reflect the AI-lab-contract model: clients are well-funded AI research organizations paying for ongoing engineering and research support, not one-off annotation microtasks. The 3–5 day AI review process gates out workers who don't meet the bar.
For earning ceiling, Mercor wins decisively. For accessibility — getting started quickly without an engineering or research background — Scale AI is the more realistic entry point. Workers with strong AI/ML backgrounds who want to maximize earnings should pursue Mercor; those doing annotation-type work at scale should focus on Scale AI.
Scale AI focuses on data annotation and AI training tasks: RLHF, code evaluation, math problem review, image annotation, and content assessment. Tasks are assigned project by project with varying availability. Workers with specialized expertise in coding, medicine, law, or mathematics can access high-value project categories that general annotators cannot.
Mercor focuses on engineering and research contracts: RLHF for AI labs, model evaluation, prompt engineering, and software engineering for AI-focused companies. The work is contract-based rather than task-based — you're placed with a client for weeks or months rather than completing discrete tasks. This suits engineers who want predictable ongoing work rather than variable task queues.
Bottom Line
Scale AI and Mercor complement each other more than they compete. Scale AI is the right platform for annotation and AI training task income at strong rates without requiring an engineering career background. Mercor is the better choice for engineers and researchers who want ongoing AI lab contract work at significantly higher rates. Many senior practitioners use Scale AI for flexible task income and Mercor for placed contracts simultaneously. View Scale AI / Outlier → · View Mercor →
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Cons
Pay Range
$25-250/hr
Reliability
Very ReliableOnboarding Time
1-3 weeks (interview + assessment + trial)
Payment Frequency
weekly
Best For
Software engineers, domain experts (medicine, law, finance), data scientists, ML engineers, and language specialists looking for high-paying remote AI gig work. Ideal for experienced professionals who can pass AI interviews and technical assessments.
Pros
Cons