Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Data Scientist, Integrity Measurement This role focuses on developing and implementing AI-first methods for measuring and monitoring complex harms on OpenAI's platforms. The Data Scientist will own measurement and metrics for severe usage harms, build productionised safety metrics, optimize LLM prompts for measurement, and leverage agentic products for automation. The role is crucial for ensuring the integrity and security of OpenAI's scaling technology. | Eval GateData | 8 |
| Data Scientist, Preparedness Data Scientist role focused on evaluating, improving, and building mitigation systems to prevent extreme harms from AI. This involves deep error analysis, root cause investigation, building monitoring frameworks, and identifying trends in blocking effectiveness to influence product and policy changes. The role requires strong analytical skills, SQL/Python proficiency, and experience in high-stakes domains like security or trust & safety. |
| Eval Gate |
| 8 |
| Backend Software Engineer (Evals) Backend Software Engineer to design and build an evals infrastructure for measuring the quality of OpenAI's support automation. The role involves building robust systems and backend services, integrating data, and collaborating with data science and research partners. Experience with AI agents, LLM evaluation methods, and distributed systems is required. | Eval Gate | 8 |