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AI SAFETY EXPERT - RED TEAM

mercor
Part-timemid€24-35/hour

Job description

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Safety Experts — English & Thai Type: Contract Compensation: $24–$35/hour Location: Remote Role Responsibilities • Red team conversational AI models and agents to identify jailbreaks, prompt injections, misuse cases, and bias exploitation. • Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks. • Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing. • Document reproducibly by producing reports, datasets, and attack cases that customers can act on. • Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have • Fluent Language Skills: Native fluency in English & Thai . • Prior red teaming experience in AI adversarial work , cybersecurity , or socio-technical probing . • Ability to communicate risks clearly to technical and non-technical stakeholders. • Adaptability to thrive on moving across projects and customers. Preferred • Experience with Adversarial ML , Cybersecurity , and Socio-technical risk . • Skills in jailbreak datasets , prompt injection , RLHF/DPO attacks , and model extraction . Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills

Adversarial MLCybersecuritySocio-technical riskjailbreak datasetsprompt injectionRLHF/DPO attacksmodel extraction