Red-Teaming Quality Assurance Lead (QAL)
Lead red-teaming quality assurance efforts, identifying vulnerabilities and safety risks in AI model outputs through adversarial evaluation.
Red-team frontier models: jailbreaks, prompt injection, adversarial testing, and safety evaluation — paid work that makes AI safer.
Lead red-teaming quality assurance efforts, identifying vulnerabilities and safety risks in AI model outputs through adversarial evaluation.
Remote red-teaming role focused on probing AI systems for vulnerabilities, misalignment, and safety issues. Help design and execute adversarial prompts and edge cases to improve AI robustness.
Evaluate personalization quality in AI systems using cultural and contextual understanding of Japanese user behavior.
Design and craft multi-turn conversational datasets to improve AI agent reasoning, function calling accuracy, and real-world interaction capabilities.
Rate and validate axis sanity checks to improve AI model reasoning and evaluation quality.
Evaluate LLM behavior and validate large-scale code repositories.
AI red teaming jobs pay you to break models before bad actors do: crafting jailbreaks and prompt injections, probing for bias and misuse, and documenting vulnerabilities so they can be fixed. Alongside them sit AI safety jobs in evaluation — rubric design, scenario writing, and quality control for safety-critical outputs.
Roles run from bilingual red-teaming (adversarial testing in your native language) to security-engineer level adversarial ML — remote, project-based, and in growing demand as every lab ships safety reviews.
One profile covers every partner platform — most people are on a paid ai safety project within a week.
Get matchedAI red teaming jobs pay you to break models before bad actors do: crafting jailbreaks and prompt injections, probing for bias and misuse, and documenting vulnerabilities so they can be fixed. Alongside them sit AI safety jobs in evaluation — rubric design, scenario writing, and quality control for safety-critical outputs.
Live ai safety projects typically pay $65–120/hr, with every rate posted upfront on the listing. Difficulty, seniority, and specialist credentials push rates toward the top of the band.
Yes — every project is remote and asynchronous. Work from anywhere, pick your own hours, no meetings. Apply links go straight to the hiring platform with no middlemen and no fees.
It varies widely: bilingual red-team roles need native language skill and adversarial creativity; advanced tracks want cybersecurity or ML experience. Safety evaluation and scenario design accept strong analytical writers with no security background.