AI Safety Expert – English, Telugu

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

📋 Description

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

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

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

• Generate reproducible reports, datasets, and attack scenarios.

• Evaluate AI outputs related to sensitive subjects, including bias, misinformation, or harmful behaviors.

• Identify vulnerabilities that automated testing may overlook.

• Enhance evaluation coverage and minimize unexpected issues during production.

• Fortify customer AI systems through adversarial testing.

⛳️ Requirements

• Native fluency in both English and Telugu is essential.

• Strong judgment regarding language and content quality.

• Ability to evaluate whether AI responses are accurate, complete, and appropriate, along with the capacity to articulate reasoning.

• Meticulous attention to detail, including subtle errors, inconsistencies, and gaps.

• Consistent adherence to guidelines and quality standards.

• Effective communication of reasoning to both technical and non-technical audiences.

• Flexibility to adapt across various projects, task types, and client needs.

• Status as an independent contractor is required.

• Must not require H1-B or STEM OPT sponsorship.

• Preferred areas of expertise include adversarial machine learning, cybersecurity, socio-technical risk, or creative probing.

🏝️ Benefits

• Fully remote position.

• Flexible work schedule; manage your own time.

• Weekly payments via Stripe or Wise.

• Project durations may vary based on needs and performance.

• Access to wellness resources and clear guidelines for projects with higher sensitivity.

• Opportunity to gain experience in human data-driven AI red teaming.

• Direct involvement in enhancing the robustness, safety, and trustworthiness of AI systems.

• Competitive compensation.

• Collaboration opportunities with leading researchers.

• Reasonable accommodations available upon request.