AI Safety Expert - Red Team
Overview
Lead red team efforts to improve conversational AI models and agents against jailbreaks and bias. Build human data sets and apply taxonomies to document findings. Deliver actionable insights through reports and attack case studies. This role differs by focusing on creative probing techniques and cross‑functional collaboration.
What You'll Do5
- 1Design and execute red team strategies for conversational AI models and agents to detect jailbreaks and bias exploitation
- 2Annotate failure modes generate high quality human data classify vulnerabilities and flag systemic risks
- 3Structure testing using taxonomies benchmarks and playbooks for consistent results
- 4Produce reproducible documentation including reports datasets and attack cases for customer use
- 5Work independently and asynchronously to meet deadlines while enhancing model performance
Requirements6
- 15+ years building ETL pipelines with Spark and Airflow
- 2Fluent in English and Swedish
- 3Prior red teaming experience in AI adversarial work cybersecurity or socio technical probing
- 4Strong communication skills to explain risks to technical and non technical stakeholders
- 5Preferred experience with Adversarial ML Cybersecurity and Socio technical risk
- 6Skills in Creative probing such as psychology acting or unconventional adversarial thinking
Salary Insight
$48 - $62k per year
Location
Required Skills
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