Based only on the facts in our directory. The right pick still depends on the job you need done.
Lower starting price
Not comparable
Not comparable: Mercor does not list a price
Free plan
Scale AI
Only Scale AI has one
Higher rating
Mercor
4.1 against 4.0
Same job?
Yes
Both are AI Infrastructure & Agent Tooling tools
Side by side
Compared on
Mercor
Scale AI
Our rating
4.1Better
4.0
Starts at
Not listed
Free
Free plan
No
YesBetter
Category
AI Infrastructure & Agent Tooling
AI Infrastructure & Agent Tooling
Plans
See pricing
Free
Key features
Marketplace matching AI labs with vetted domain experts, not generalist crowdworkers
Pool of roughly 300,000 professionals across engineering, medicine, law, and other fields
Built for reinforcement-learning feedback and evaluation work, not just raw labeling
30% recruiting fee model scales with contracted expert labor
$350M Series C at a $10 billion valuation
Data labeling and annotation infrastructure for machine learning training sets
Self-serve tier with a free monthly allowance before per-unit pricing kicks in
Enterprise volume pricing for large-scale labeling projects
Meta holds a roughly 49% stake following a 2025 investment
Long track record supplying autonomous-vehicle and foundation-model programs
Pros
Domain-expert focus fits specialized training data needs generalist labeling vendors can't serve
Rapid valuation growth signals strong demand from frontier AI labs
Recruiting-fee model aligns pricing directly with the caliber of expert engaged
Long operating history gives it deep experience across autonomous vehicle and LLM training use cases
Self-serve free tier lowers the barrier for smaller teams to test the platform
Meta's investment adds financial backing most data-labeling vendors lack
Cons
Recruiting-fee pricing model means costs scale unpredictably with expert seniority and volume
Built for AI labs at training scale, not a fit for smaller one-off labeling projects
Expert-marketplace model depends on the quality of Mercor's own vetting, which is not independently auditable by customers
Meta's large stake raises questions about neutrality for competing AI labs
Enterprise pricing requires a sales conversation for anything beyond small jobs
Data-labeling work is inherently commoditizing as automated labeling tools mature
Company
Mercor, founded 2023
Scale AI, founded 2016
Prices come from each vendor's pricing page, last checked 20260716. Check the vendor before you buy.
FAQ
Questions people ask
Is Mercor better than Scale AI?
In our reviews Mercor scores 4.1 and Scale AI scores 4.0. The better pick depends on the job. Mercor: Reached a $10 billion valuation organizing 300,000 human experts to train frontier AI models. Scale AI: Data-labeling infrastructure that trained early GPT and Waymo models, now backed by Meta.
Scale AI
Mercor
