Himalayas · Partner listingAI Safety Expert - Adversarial ML
mercor
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: United Kingdom
About the role
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 & OdiaType:ContractCompensation:$16–$22/hourLocation:Remote
Role Responsibilities
Red team conversational AI models and agents. Conduct jailbreaks, prompt injections, misuse cases, and bias exploitation.
Generate high-quality human data. Annotate failures, classify vulnerabilities, and flag systemic risks.
Apply structure. Follow taxonomies, benchmarks, and playbooks to ensure consistent testing.
Document reproducibly. Produce reports, datasets, and attack cases that customers can act on.
Work independently and asynchronously. Thrive in flexible hours while improving AI model performance.
Qualifications
Must-Have
Native fluency in English and Odia.
Strong judgment about language and content.
Rigorous attention to detail and consistency.
Structured approach to guidelines and quality standards.
Clear communication with technical and non-technical audiences.
Adaptability across projects, task types, and customers.
Preferred
Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
Background in Cybersecurity: penetration testing, exploit development, reverse engineering.
Knowledge of socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing.
Creative probing skills: psychology, acting, writing for unconventional adversarial thinking.
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Originally posted on Himalayas
Skills mentioned in the listing
CybersecurityPenetration testing
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Cybersecurity · mentioned
datasets, prompt injection, RLHF/DPO attacks, model extraction. Background in Cybersecurity: penetration testing, exploit development, reverse engineering. Knowledge of socio-technical risk: harassment/disinfo probing
Penetration testing · mentioned
pt injection, RLHF/DPO attacks, model extraction. Background in Cybersecurity: penetration testing, exploit development, reverse engineering. Knowledge of socio-technical risk: harassment/disinfo probing, abuse analysi