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AI Safety Expert - Adversarial ML

$16 - $22 per hour

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 & Telugu
Type: Contract
Compensation: $16–$22/hour
Location: Remote

Role Responsibilities

  • Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases.
  • 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 enhancing AI model safety .

Qualifications

Must-Have

  • Fluent in English and Telugu .
  • Strong judgment about language and content accuracy.
  • Rigorous attention to detail and consistency.
  • Ability to explain reasoning clearly to both 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.
  • Cybersecurity skills: penetration testing, exploit development, reverse engineering.
  • Understanding 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 12 days ago
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