AI Safety Expert – English, Danish

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct red-team assessments of conversational AI models and agents through techniques such as jailbreaks, prompt injection, misuse scenarios, bias exploitation, and multi-turn manipulations.

• Create human data by annotating failures, categorizing vulnerabilities, and identifying systemic risks.

• Utilize taxonomies, benchmarks, and playbooks to ensure consistent testing procedures.

• Generate reproducible reports, datasets, and attack scenarios for clients.

• Investigate AI systems to reveal vulnerabilities that automated testing may overlook.

• Enhance evaluation coverage while minimizing unexpected issues in production.

• Assist Mercor clients in making their AI systems safer, more resilient, and trustworthy.

⛳️ Requirements

• Fluency in both English and Danish is essential.

• Previous experience in red teaming, specifically within AI adversarial contexts, cybersecurity, or socio-technical probing.

• Capability to test AI systems in an adversarial manner and push them to their limits.

• Familiarity with frameworks or benchmarks for structured testing methodologies.

• Proficiency in articulating risks to both technical and non-technical audiences.

• Flexibility to adapt to various projects and client needs.

• Desirable specialties include adversarial machine learning, cybersecurity, socio-technical risk, or innovative probing techniques.

• Must operate as an independent contractor.

• H1-B and STEM OPT candidates are not eligible.

🏝️ Benefits

• Fully remote position.

• Flexible working hours / freedom to set your own schedule.

• Weekly payments through Stripe or Wise based on services provided.

• Participation in higher-sensitivity projects is optional.

• Clear guidelines and wellness resources available for handling sensitive-content projects.

• Competitive compensation.

• Opportunity to collaborate with top researchers in the field.

• Referral bonuses of up to $250 for each successful referral.