
AI Safety Red Teamer
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in United States.
β’ Create adversarial prompts to rigorously assess advanced AI models
β’ Detect jailbreaks, unsafe behaviors, hallucinations, and policy shortcomings
β’ Assess model resilience across sensitive areas such as misinformation, cyber threats, biosecurity, fraud, and political content
β’ Record vulnerabilities and assist in the development of safety benchmarks and red-teaming reports
β’ Collaborate with AI researchers to enhance model alignment, robustness, and safety
β’ Engage in projects aimed at training and improving AI systems
β’ A Bachelorβs degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related field
β’ Over 5 years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related area
β’ Strong skills in analytical reasoning, prompt design, and written communication
β’ Proven experience in designing adversarial prompts or evaluating state-of-the-art AI systems
β’ Background in AI Red Teaming, Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-Tuning (SFT), AI Alignment, or Trust & Safety
β’ Knowledge of jailbreak testing, prompt engineering, or adversarial evaluation methods
β’ Proficiency in one or more grey-area domains, such as cyber security, biosecurity, political content, misinformation, or scientific safety
β’ Ability to work as an independent contractor
β’ H1-B and STEM OPT candidates are not eligible
β’ Fully remote position that allows you to work on your own schedule
β’ Weekly payments through Stripe or Wise based on services provided
β’ Flexibility to extend, shorten, or conclude projects early based on requirements and performance
β’ Chance to engage in cutting-edge adversarial testing with top AI researchers and safety teams
β’ Opportunity to shape how AI systems address complex, real-world safety dilemmas
β’ Competitive compensation
β’ Referral bonuses of up to $340 for each successful referral
Invisible Technologies
Invisible Technologies
Invisible Technologies
Invisible Technologies
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