Bilingual AI Adversarial Analyst 32hr

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 DAngelo Larry Summers and Jack Dorsey .

Position: Red Team Specialist
Type: Full-time or Part-time Contract Work
Compensation: $32/hour
Location: Remote (Geography restricted to USA Egypt Saudi Arabia UAE)

Role Responsibilities

• Red team conversational AI models and agents by conducting 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

• Native-level fluency in English & Arabic .
• Prior red teaming experience in AI adversarial work cybersecurity or socio-technical probing.
• Strong communication skills to explain risks clearly to technical and non-technical stakeholders.

Preferred

• Experience in Adversarial ML Cybersecurity or Socio-technical risk .
• Skills in Creative probing such as psychology acting or writing for unconventional adversarial thinking.

Compensation & Legal

• Hourly contractor Paid weekly .

Application Process (Takes 2030 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:
• For any help or support reach out to:

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

Key Skills
Arabic Speaking,Internal Audit,Biotechnology,ABAP,Learning Management System,AV
Employment Type : Full Time
Experience: years
Vacancy: 1