Image Recognition Specialist Salary.
Across 30 U.S. cities.
$170,000
national median salary
$128,000 to $222,000. Last updated April 2026.
Highest Paying
$232,000
San Francisco, CA
Best Purchasing Power
$177,000
Seattle, WA
Lowest Paying
$127,000
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 Image Recognition Specialist salary in the United States is $170,000 in 2026, with the full range spanning $128,000 at the 25th percentile to $222,000 at the 75th. San Francisco pays the most at $232,000, while Seattle offers the best purchasing power after cost-of-living adjustments. Expertise in convolutional neural networks, vision transformers, and transfer learning for image classification drives compensation.
Image Recognition Specialist salary by city
What you should know
Expertise in convolutional neural networks, vision transformers, and transfer learning for image classification drives compensation. Specialists who can optimize models for edge deployment and handle domain specific challenges like fine grained recognition command premiums. Experience with data augmentation strategies, active learning, and few shot classification adds further salary value.
Junior image recognition engineers start at $100,000 to $130,000. Mid level specialists with deployed production models earn $150,000 to $190,000. Senior specialists reach $195,000 to $245,000. Principal vision scientists at technology companies can exceed $310,000 in total compensation.
Equity at computer vision startups adds 15 to 30% of total compensation. Performance bonuses of 10 to 20% are standard. Signing bonuses of $15,000 to $40,000 are common. Benefits often include cloud compute credits and conference attendance budgets.