Remote AI Safety Expert — Adversarial ML (English & Odia)

mercor

San Francisco (CA)

Hybrid

AUD 22,000 - 30,000

Full time

14 days+

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Job summary

Mercor is seeking AI Safety Experts for English and Odia to remotely test and harden conversational AI models. You will simulate jailbreaks, annotate model failures, and classify vulnerabilities to help clients reduce risks and improve reliability.

This contract role offers flexible hours and the ability to work asynchronously with a global team on guidelines, taxonomies, and playbooks designed for consistent testing and actionable outcomes.

Qualifications

  • Native fluency in English and Odia.
  • Strong judgment about language and content.
  • Rigorous attention to detail and consistency.
  • Structured approach to guidelines and quality standards.
  • Clear communication with technical and non-technical audiences.
  • Adaptability across projects, task types, and customers.

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. Follow taxonomies, benchmarks, and playbooks to ensure consistent testing.
  • Document reproducibly. Produce reports, datasets, and attack cases that customers can act on.
  • Work independently and asynchronously. Thrive in flexible hours while improving AI model performance.

Skills

English Fluency
Odia Fluency
Judgment
Attention to detail
Structured approach
Communication skills
Adaptability
Adversarial ML
Cybersecurity

Tools

Adversarial ML
Cybersecurity

Job description

Mercor is seeking AI Safety Experts for English and Odia to remotely test and harden conversational AI models. You will simulate jailbreaks, annotate model failures, and classify vulnerabilities to help clients reduce risks and improve reliability.

This contract role offers flexible hours and the ability to work asynchronously with a global team on guidelines, taxonomies, and playbooks designed for consistent testing and actionable outcomes.

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