Feature comparison
How Terac and Scale AI stack up across the features that matter.
Expert Quality
| Feature | Terac | Scale AI |
|---|---|---|
| Worker verification | Government ID, LinkedIn, work email, IP verification | Internal workforce management via Remotasks, managed labeling teams |
| Expert screening | AI voice screening + professional attestations | Internal training programs and managed quality processes |
| Domain expertise | Verified professionals: engineers, doctors, lawyers, accountants | Trained labelers, not necessarily domain experts |
| Transparency | Direct access to verified expert profiles | Managed service, no direct worker access |
Worker verification
Government ID, LinkedIn, work email, IP verification
Internal workforce management via Remotasks, managed labeling teams
Expert screening
AI voice screening + professional attestations
Internal training programs and managed quality processes
Domain expertise
Verified professionals: engineers, doctors, lawyers, accountants
Trained labelers, not necessarily domain experts
Transparency
Direct access to verified expert profiles
Managed service, no direct worker access
Access & Speed
| Feature | Terac | Scale AI |
|---|---|---|
| Self-serve access | Sign up and launch in minutes | Enterprise sales process, custom contracts, long onboarding |
| Time to first result | Hours | Weeks to months (enterprise onboarding + ramp) |
| API / Agent access | Full API + MCP for AI agent integration | Enterprise API, custom integrations |
| Minimum commitment | No minimums, pay per task | Enterprise contracts, significant minimums |
Self-serve access
Sign up and launch in minutes
Enterprise sales process, custom contracts, long onboarding
Time to first result
Hours
Weeks to months (enterprise onboarding + ramp)
API / Agent access
Full API + MCP for AI agent integration
Enterprise API, custom integrations
Minimum commitment
No minimums, pay per task
Enterprise contracts, significant minimums
Use Cases
| Feature | Terac | Scale AI |
|---|---|---|
| Data labeling | Expert labeling for RLHF, SWE-Bench, computer control, domain-specific annotation | Full-spectrum labeling: image, text, video, lidar, sensor fusion |
| Research & feedback | Surveys, interviews, expert consultations, qualitative research | Not a primary use case |
| Pricing model | Per-task or per-participant with volume pricing | Enterprise pricing, annual contracts, project-based quotes |
Data labeling
Expert labeling for RLHF, SWE-Bench, computer control, domain-specific annotation
Full-spectrum labeling: image, text, video, lidar, sensor fusion
Research & feedback
Surveys, interviews, expert consultations, qualitative research
Not a primary use case
Pricing model
Per-task or per-participant with volume pricing
Enterprise pricing, annual contracts, project-based quotes
Why teams switch from Scale AI
Self-serve, not enterprise sales
Scale AI requires enterprise contracts and weeks of onboarding. Terac lets you sign up, define a task, and have verified experts working on it in hours. No sales calls, no minimums, no lock-in.
Verified experts, not trained labelers
Scale AI trains general labelers on your specific task. Terac recruits and verifies actual domain experts: software engineers for code tasks, doctors for medical annotation, lawyers for legal review.
Open and programmable
Terac's API and MCP give any team programmatic access to verified expert labor. You do not need an enterprise relationship or custom integration to get started.
Research and labeling in one platform
Scale AI focuses on data labeling. Terac handles expert labeling alongside research interviews, surveys, expert consultations, and qualitative feedback, all from the same verified panel.
Frequently asked questions
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