
AI Safety Expert – English, Odia
Posted Aug 13

Posted Aug 13
This is a fully remote position, open to applicants in United States.
• Conduct red team assessments on conversational AI models and agents through methods such as jailbreaks, prompt injections, misuse scenarios, bias exploitation, and multi-turn manipulation.
• Create human data by annotating errors, classifying vulnerabilities, and identifying systemic risks.
• Utilize taxonomies, benchmarks, and playbooks to ensure consistency in testing.
• Generate reproducible reports, datasets, and attack scenarios for clients.
• Investigate AI systems for vulnerabilities that may be overlooked by automated testing.
• Broaden evaluation coverage and minimize unexpected issues in production.
• Work collaboratively with Mercor’s AI lab and enterprise clients to train and enhance advanced AI systems.
• Must possess native fluency in both English and Odia.
• Previous experience in red teaming focused on AI adversarial tasks, cybersecurity, or socio-technical probing is essential.
• Capability to adversarially probe systems and guide them towards their failure points.
• Familiarity with frameworks or benchmarks for structured testing is required.
• Proficient in conveying risks effectively to both technical and non-technical stakeholders.
• Flexibility to adapt across various projects and customer needs.
• Candidates must not need H1-B or STEM OPT sponsorship.
• Position requires independent contractor status.
• Opportunity for fully remote work.
• Flexible working hours – manage your own schedule.
• Participation in higher-sensitivity projects is optional.
• Access to clear guidelines and wellness resources for sensitive-content tasks.
• Receive weekly payments via Stripe or Wise.
• Chance to gain experience in human data-driven AI red teaming.
• Play a direct role in enhancing the robustness, safety, and trustworthiness of AI systems.
• Competitive compensation.
• Collaborate with leading researchers in the field.
• Referral bonuses of up to $90 for each successful referral.
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