
AI Safety Expert, English, Danish
Posted Aug 10

Posted Aug 10
This is a fully remote position, open to applicants in United States.
β’ Conduct red-team assessments of conversational AI models and agents by utilizing jailbreaks, prompt injections, misuse scenarios, bias exploitation, and multi-turn manipulations.
β’ Create high-quality human data through the annotation of failures, classification of vulnerabilities, and identification of systemic risks.
β’ Implement taxonomies, benchmarks, and playbooks to ensure consistent testing practices.
β’ Generate reproducible reports, datasets, and attack scenarios that are actionable for customers.
β’ Identify vulnerabilities that automated tests may overlook.
β’ Broaden evaluation coverage and minimize unexpected issues in production.
β’ Enhance the robustness, safety, and trustworthiness of customer AI systems.
β’ Engage in projects aimed at training and improving advanced frontier AI systems.
β’ Previous experience in red teaming related to AI adversarial activities, cybersecurity, or socio-technical probing.
β’ Capability to adversarially probe AI systems and challenge them to their limits.
β’ Proficiency in utilizing frameworks or benchmarks for structured testing methodologies.
β’ Skill in clearly communicating risks to both technical and non-technical stakeholders.
β’ Flexibility to adapt across various projects and client requirements.
β’ Proficiency in both English and Danish is mandatory.
β’ Native fluency in English and Danish is required.
β’ Engagement as an independent contractor.
β’ H1-B and STEM OPT candidates will not be considered.
β’ Completely remote position.
β’ Flexible working hours, allowing you to complete tasks on your own schedule.
β’ Participation in high-sensitivity projects is optional.
β’ Access to clear guidelines and wellness resources for managing sensitive content.
β’ Weekly payment through Stripe or Wise.
β’ Competitive compensation.
β’ Opportunity to collaborate with leading researchers in the field.
β’ Referral bonuses of up to $250 for each successful referral.
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