AI Trainer / Data Annotator Salary.
Across 83 U.S. cities.
$62,000
national median salary
$45,000 to $80,000. Last updated April 2026.
Highest Paying
$87,000
San Francisco, CA
Best Purchasing Power
$65,000
Seattle, WA
Lowest Paying
$48,000
Charleston, WV
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average AI Trainer / Data Annotator salary in the United States is $62,000 in 2026, with the full range spanning $45,000 at the 25th percentile to $80,000 at the 75th. San Francisco pays the most at $87,000, while Seattle offers the best purchasing power after cost-of-living adjustments. Compensation varies significantly based on annotation complexity.
AI Trainer / Data Annotator salary by city
Skills that increase AI Trainer / Data Annotator pay
The skills below command measurable salary premiums for AI Trainer / Data Annotators based on job posting data. Learning the top skill here could add $8,680 to your annual compensation.
≈ +$8,680 per year
≈ +$8,060 per year
≈ +$7,440 per year
≈ +$6,820 per year
≈ +$6,200 per year
≈ +$6,200 per year
≈ +$6,200 per year
≈ +$5,580 per year
What you should know
Compensation varies significantly based on annotation complexity. Trainers doing RLHF and red-teaming for frontier AI models earn considerably more than those doing basic image labeling. Domain expertise in medicine, law, or coding enables access to specialized annotation work that pays 30% to 50% above baseline.
Entry-level data annotators start at $35,000 to $50,000 or $18 to $25 per hour. Experienced RLHF trainers earn $55,000 to $75,000. Senior annotation leads managing quality pipelines reach $75,000 to $95,000. Transitioning to data curation or ML engineering opens paths to $100,000+ roles.
Most AI trainer roles are hourly or contract-based, with limited benefits. Full-time positions at major AI labs offer standard tech benefits including health insurance and 401(k) matching. Some companies provide performance bonuses tied to annotation quality metrics.