OpenAI
Researcher, Safety - Frontier Assurance
San Francisco · Contract
Sponsorship not specifiedDetected 3 days ago
Machine LearningAuditingResearchExperimental Design
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You will work closely with external evaluators and embedded auditors, helping them understand the systems they are assessing and access the models, data, and technical information their work requires.
- Where direct access is not possible, you will conduct experiments and analyses on their behalf, with methods and results they can meaningfully scrutinize.
- Your work will help turn independent scrutiny into concrete evidence about model capabilities, safeguards, and remaining risks.
Responsibilities
- Design and implement secure access to assessment environments, working with research, engineering, and security teams to make relevant models, tools, and information available.
- Conduct experiments and run analyses on evaluators' behalf when direct access is constrained. Develop methods collaboratively, document implementation choices, and make results reproducible and open to challenge.
- Build tooling that automates auditing, assessment workflows, and internal assurance work, including evidence collection, evaluation execution, and tracking changes across model or safeguard versions.
- Document methods, findings, and limitations clearly so that evaluators and internal decision-makers can understand what the evidence establishes and where uncertainty remains.
- Have strong software engineering skills and experience building research tools, evaluation infrastructure, or systems for analyzing complex data.
- Bring sound judgment to experimental design and measurement, including identifying confounders, limitations, and gaps in evidence.
- Value independent scrutiny and can support rigorous assessments that challenge internal assumptions.
- Support the technical execution of third-party assessments and embedded audits focused on frontier risks, working with evaluators to translate research questions into experiments, analyses, and evidence requirements.
Requirements
- Experience with AI safety evaluations, adversarial testing, security research, or technical auditing would be especially relevant.
Benefits
- Have practical experience working with modern machine learning systems, including designing experiments, running evaluations, and interpreting results.
Company info
- The Frontier Assurance team strengthens OpenAI's safety decisions through independent expertise, rigorous assessment, and public transparency.
- We coordinate external evaluations of frontier models and safeguards, develop approaches such as embedded auditing, and manage the misalignment disclosure process and safeguard testing.
- Our work helps independent experts scrutinize OpenAI's safety approach and ensures their findings inform consequential decisions about advanced AI systems.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.