AI Safety Expert – English, Gujarati

atMercorRemoteUS flagUnited StatesFreelanceArtificial IntelligenceMid-levelSenior$16 – $22/hour

Posted Sep 29

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

πŸ“‹ Description

β€’ Conduct red-team assessments on conversational AI models and agents utilizing jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.

β€’ Create human data by annotating failures, categorizing vulnerabilities, and highlighting systemic risks.

β€’ Implement taxonomies, benchmarks, and playbooks to ensure consistent testing practices.

β€’ Generate reproducible reports, datasets, and attack scenarios for clients.

β€’ Evaluate AI outputs related to sensitive subjects such as bias, misinformation, and harmful behaviors.

β€’ Detect vulnerabilities that automated testing may overlook.

β€’ Broaden evaluation scope and minimize unexpected issues in production.

β€’ Enhance customer AI systems through adversarial testing.


⛳️ Requirements

β€’ Native proficiency in English and Gujarati is mandatory.

β€’ Strong discernment regarding language and content quality.

β€’ Capability to evaluate whether AI responses are accurate, comprehensive, and suitable, along with the ability to articulate reasons.

β€’ Meticulous attention to subtle mistakes, discrepancies, and omissions.

β€’ Consistent adherence to guidelines and quality standards.

β€’ Ability to clearly communicate reasoning to both technical and non-technical audiences.

β€’ Flexibility to adapt across various projects, task types, and clients.

β€’ Status as an independent contractor is required.

β€’ Must not hold H1-B or STEM OPT status.

β€’ Preferred areas of expertise include adversarial ML, cybersecurity, socio-technical risk, or creative probing.


🏝️ Benefits

β€’ Fully remote position.

β€’ Flexibility to set your own schedule.

β€’ Weekly payments through Stripe or Wise.

β€’ Opportunity to gain experience in human data-driven AI red teaming.

β€’ Direct involvement in enhancing the robustness, safety, and trustworthiness of AI systems.

β€’ Competitive compensation.

β€’ Collaboration with top researchers in the field.

β€’ Reasonable accommodations available upon request.

β€’ Participation in higher-sensitivity projects is optional.

β€’ Clear guidelines and wellness resources for managing sensitive-content tasks.

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