AI Quality Assurance Engineer.

AI QA engineers earn 20 to 30% more than traditional QA engineers. The premium reflects the complexity of testing probabilistic systems, the need to evaluate model fairness and robustness, and expertise in building evaluation frameworks for non-deterministic outputs.

Highly valuable. Engineers with adversarial testing and AI red-teaming experience earn 10 to 20% premiums. As AI safety concerns grow, companies increasingly invest in dedicated adversarial testing roles, and QA engineers with this expertise are well-positioned for advancement.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Annual bonuses range from 10 to 15% of base salary. In San Antonio's market, these extras can add $35,500 or more on top of the base salary.

Pay depends on expertise in ML-specific testing methodologies, including model evaluation, data validation, and regression testing for AI systems. Engineers who can build automated testing pipelines for model performance, fairness, and robustness earn premiums. Experience with adversarial testing and red-teaming AI systems adds 10 to 15% to offers. In San Antonio, these factors can push compensation from the 25th percentile of $109,000 to the 75th percentile of $185,000 or beyond.

San Antonio has a major military presence with Joint Base San Antonio and a growing cybersecurity hub. The city is home to USAA headquarters and a cluster of healthcare systems. For AI Quality Assurance Engineers specifically, the median salary of $142,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Quality Assurance Engineers. Some San Antonio employers offer location adjusted pay, while others maintain local rates to attract in office talent. In San Antonio's moderate cost market, remote and local salaries are converging. The $109,000 to $185,000 range reflects both arrangements.

San Antonio has a major military presence with Joint Base San Antonio and a growing cybersecurity hub. The city is home to USAA headquarters and a cluster of healthcare systems. For AI Quality Assurance Engineers specifically, pay depends on expertise in ml-specific testing methodologies, including model evaluation, data validation, and regression testing for ai systems, which signals sustained demand. The current compensation range of $109,000 to $185,000 reflects a market that is competing for talent.