AI Training Industry Research
Original data-driven reports and cross-platform analysis for AI trainers, annotators, and the data labeling industry, coded from primary listing data, with sample sizes and methodology reported alongside every finding.
Latest Research
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What Trustpilot Scores for AI Training Platforms Measure (2026): Organic vs. Invited Reviews Across 4,555 Reviews
We analyzed 4,555 Trustpilot reviews and 3,731 Reddit posts about 19 AI training platforms. On 8 of 9 platforms, reviews Trustpilot labels organic score 1.2 to 3.5 stars below invited ones, and an estimated 61% of reviews come from applicants who have not done paid work.
The AI Vibe Check Study Asks What Makes AI Writing Sound Human
Readers judge which of two AI-written answers sounds more human. The study started on September 24, 2026 and has no findings yet; this page covers how rounds work, what we record and how results will be published.
Pay Rates in the AI Evaluation Economy (2026): A Cross-Platform Benchmark of 2,082 Active Listings
We analyzed 2,082 active job listings across 7 AI evaluation platforms to benchmark hourly pay rates, disclosure gaps, and rate normalization anomalies.
The End of Crowd-Work: How Domain Experts Are Restructuring the Economics of AI Post-Training
We coded 2,571 active AI evaluation listings across 9 platforms. Domain Expert Track roles pay a median of $75/hr, 1.5x the Generalist Track median of $50/hr. Legal and Finance roles reach $100+ medians.
The AI Training Labor Market (2026): A Cross-Platform Analysis of 2,282 Job Listings
We coded 2,282 active AI training job listings across 6 platforms. What each platform discloses about interviews, hours, and contract length varies sharply.
AI Training Platform Pay Survey
Open now: self-reported hourly rates, dry spells, and work availability across AI training platforms. Results publish once enough responses come in.