AI Safety Specialist - Fully Remote | Upto $22/hr

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 & Punjabi
Type:Contract
Compensation:$20–$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 using taxonomies, benchmarks, and playbooks to maintain consistent testing.
• Document reproducibly. Produce reports, datasets, and attack cases for customer action.

Qualifications

Must-Have

• Fluent in English and Punjabi.
• Prior experience in red teaming (AI adversarial work, cybersecurity, socio-technical probing).
• Strong communication skills. Explain risks clearly to technical and non-technical stakeholders.
• Adaptable. Thrive on moving across projects and customers.

Preferred

• Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
• Cybersecurity skills: penetration testing, exploit development, reverse engineering.
• Socio-technical risk expertise: harassment/disinfo probing, abuse analysis, conversational AI testing.
• Creative probing abilities: 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

• 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: [email protected]

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

Originally posted on Himalayas