Feature comparison
How Terac and Amazon Mechanical Turk stack up across the features that matter.
Worker Quality
| Feature | Terac | Amazon Mechanical Turk |
|---|---|---|
| Identity verification | Government ID, LinkedIn, work email, IP verification | Amazon account only, anonymous workers |
| Expert screening | AI voice screening + professional attestations | Qualification tests (self-serve), no identity or expertise verification |
| Fraud prevention | Real-time AI detection during tasks | Requester-managed approval/rejection, no platform-level fraud detection |
| Worker type | Verified domain experts across industries | Anonymous crowd workers, general population |
Identity verification
Government ID, LinkedIn, work email, IP verification
Amazon account only, anonymous workers
Expert screening
AI voice screening + professional attestations
Qualification tests (self-serve), no identity or expertise verification
Fraud prevention
Real-time AI detection during tasks
Requester-managed approval/rejection, no platform-level fraud detection
Worker type
Verified domain experts across industries
Anonymous crowd workers, general population
Platform & Tools
| Feature | Terac | Amazon Mechanical Turk |
|---|---|---|
| AI moderation | AI voice agent screens, interviews, and verifies | No AI moderation |
| Task types | Surveys, interviews, coding sessions, data labeling, physical evidence, long-horizon tasks | HITs: micro-tasks, surveys, content moderation, data collection |
| Quality management | AI-powered quality scoring with automated verification | Manual approval/rejection by requester, qualification tests |
| API / Agent access | Full API + MCP for AI agent integration | REST API for HIT management |
AI moderation
AI voice agent screens, interviews, and verifies
No AI moderation
Task types
Surveys, interviews, coding sessions, data labeling, physical evidence, long-horizon tasks
HITs: micro-tasks, surveys, content moderation, data collection
Quality management
AI-powered quality scoring with automated verification
Manual approval/rejection by requester, qualification tests
API / Agent access
Full API + MCP for AI agent integration
REST API for HIT management
Pricing & Economics
| Feature | Terac | Amazon Mechanical Turk |
|---|---|---|
| Worker compensation | Fair market rates for verified expert work | Requester-set pricing, often below minimum wage for micro-tasks |
| Platform fee | Transparent per-participant pricing | 20-40% commission on top of worker payment |
| Data quality ROI | Verified experts produce usable data on first pass | Low per-task cost offset by high rejection rates and rework |
Worker compensation
Fair market rates for verified expert work
Requester-set pricing, often below minimum wage for micro-tasks
Platform fee
Transparent per-participant pricing
20-40% commission on top of worker payment
Data quality ROI
Verified experts produce usable data on first pass
Low per-task cost offset by high rejection rates and rework
Why teams switch from Amazon Mechanical Turk
Verified experts, not anonymous crowd workers
MTurk workers are anonymous and unverified. Terac confirms every participant through government ID, LinkedIn, work email, and AI voice screening. You know exactly who is doing the work.
Quality by design, not by rejection
On MTurk, quality control means rejecting bad work after the fact. Terac's AI screening filters for quality upfront, so you spend less time reviewing and rejecting submissions.
Built for modern AI workflows
MTurk was designed for micro-tasks in 2005. Terac is built for RLHF, expert data labeling, coding evaluations, and AI training tasks that require genuine domain expertise.
Programmatic access for AI agents
Terac's MCP lets AI agents source verified human expertise on demand. Define the task, and Terac handles recruitment, verification, and payout programmatically.
Frequently asked questions
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