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AI Safety Expert - Adversarial ML

Mercor

Job Description

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 & Odia
Type: Contract
Compensation: $16–$22/hour
Location: 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.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Vacancy posted more than 2 months ago

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