Currently tracking 83 active AI roles, with 34 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$393k (avg $255k).
Scale AI currently has 104 active AI-related job listings. The majority of these roles are focused on agents, representing 34% of the total openings. Engineering is the top function, followed by Research. The company is actively hiring for positions related to model serving, agent orchestration, and evals. Over the last 30 days, Scale AI has added 20 new AI roles, a significant increase of 186% compared to the preceding 30-day period.
Scale AI currently has 102 active AI-related roles in our index. The most common open titles are: Product Manager of AI Applications, Global Public Sector (2), Software Engineer, Robotics (2), Solutions Engineer, Enterprise (2), Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI, Senior Software Engineer, Full-Stack – Scale GP. Most positions are in Engineering and Research.
Scale AI's active AI hiring is concentrated in: agents (34%), application (22%), evaluation (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Scale AI is hiring AI talent in: United States (70 roles), United Kingdom (13 roles), Qatar (2 roles), Mexico (2 roles).
Job postings at Scale AI most frequently reference: agent orchestration, model serving, evals, llm observability, fine tuning.
In the past 30 days, Scale AI has posted 15 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Frontier Risk Evaluations Research Scientist role focused on designing and building evaluation measures, harnesses, and datasets for frontier AI systems, with a focus on identifying and mitigating risks. The role involves collaboration with external agencies and publishing findings, bridging AI research and policy. | Eval GateAgent | 9 |
| Research Scientist, AI Controls and Monitoring Research Scientist role focused on designing methods, systems, and experiments for AI controls and monitoring, ensuring advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. This includes developing monitoring techniques, researching layered control mechanisms, designing red-team simulations, and collaborating with policymakers. |
| 9 |
| Head of Policy & Security Research Lab Lead a team of research scientists, policy experts, and engineers focused on foundational AI safety and security work, including developing frameworks and benchmarks for frontier AI models. The role requires a strong technical and policy background with extensive knowledge of frontier risk evaluations, AI control, and preparedness research. | Eval Gate | 8 |