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AI red teaming is one of the fastest-growing and highest-paying segments of AI gig work. Earn $60-175/hr testing AI models for vulnerabilities, biases, and safety failures.
Open Roles
2
Avg Pay
$85/hr
Pay Range
$30–$90/hr
Platforms
2
Software engineers are the backbone of AI training. From code review and debugging to building ML pipelines, SWEs earn $60-200/hr across platforms like Mercor, Braintrust, and Scale AI.
The top tier of AI gig work pays $100-250/hr for deep domain expertise. These roles require specialized knowledge in medicine, law, engineering, mathematics, or AI safety.
RLHF (Reinforcement Learning from Human Feedback) is the core of AI training work. Evaluators earn $25-100/hr rating AI responses, writing reference answers, and training models to be more helpful.
Red teaming involves deliberately trying to make AI models produce harmful, incorrect, or biased outputs. You probe for prompt injection vulnerabilities, factual errors, and safety bypasses.
Creative thinking, attention to detail, and domain expertise. Technical backgrounds help but are not required — platforms train you on specific testing methodologies.
Entry-level red teamers earn $40-60/hr. Experienced testers with security or domain expertise earn $80-175/hr on platforms like Mercor and Braintrust.
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