AI Safety Expert – English, Portuguese

atMercorRemoteUS flagUnited StatesFreelanceArtificial IntelligenceMid-levelSenior$29 – $45/hour

Posted Sep 4

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 scenarios, bias exploitation, and multi-turn manipulations.

β€’ Document failures, categorize vulnerabilities, and identify systemic risks.

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

β€’ Create reproducible reports, datasets, and attack scenarios.

β€’ Investigate AI outputs for bias, misinformation, and harmful behaviors.

β€’ Assist in broadening evaluation coverage and enhancing customer AI systems.


⛳️ Requirements

β€’ Native proficiency in English and Portuguese (global, not including Brazilian Portuguese).

β€’ Previous experience in red teaming within AI adversarial fields, cybersecurity, or socio-technical probing.

β€’ Capability to adversarially examine AI systems and stress them to their limits.

β€’ Familiarity with frameworks or benchmarks for structured testing.

β€’ Proficiency in clearly communicating risks to both technical and non-technical audiences.

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

β€’ Independent contractor status is required.

β€’ Must not hold H-1B or STEM OPT status.

β€’ Preferred expertise includes adversarial machine learning, cybersecurity, socio-technical risk, or innovative probing techniques.


🏝️ Benefits

β€’ Fully remote position.

β€’ Flexible scheduling options.

β€’ Weekly payments through Stripe or Wise.

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

β€’ Access to clear content guidelines and wellness resources.

β€’ Reasonable accommodations available upon request.

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

β€’ Collaboration with top researchers in the field.

β€’ Referral bonuses of up to $180 for each successful referral.

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