Applied AI Data Analyst- Temporary Position

Mobileye is looking for an Applied AI Data Analyst to join a large-scale, high-impact AI project focused on improving deep learning capabilities for autonomous driving systems. The role involves supporting large-scale data and analysis workflows, with a focus on improving the quality, scalability, and efficiency of AI-driven processes.

In this role, you will combine hands-on data analysis with practical AI-based tool building. You will work with LLMs, VLMs, and AI agents to support data labeling, classification, enrichment, error analysis, and insight generation. The position offers an opportunity to work closely with researchers and engineers while gaining hands-on experience with modern AI tools and workflows.

What will your job look like:

• Build and use AI-based tools, workflows, and automations leveraging LLMs, VLMs, and AI agents to support data labeling, classification, enrichment, and analysis processes.
• Perform hands-on analysis of structured and unstructured data, investigate model errors, identify patterns, and generate actionable insights to improve data and model quality.
• Define labeling schemes, analytical criteria, and QA methodologies to ensure high-quality and consistent data analysis processes.
• Create internal scripts, lightweight tools, and automations that streamline data analysis and annotation workflows.
• Collaborate closely with algorithm, research, and engineering teams to translate project needs into practical AI- and data-driven solutions.
  
  

• B.Sc./ M.sc in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related technical field.
• Strong technical orientation with hands-on coding experience, preferably in Python.
• Familiarity with LLMs, VLMs, AI agents, prompt engineering, or AI-assisted workflows.
• Experience using AI development tools such as Cursor, Copilot, or similar tools - advantage.
• Strong analytical skills and the ability to review data, identify errors, recognize patterns, and draw practical conclusions.
• Ability to work independently, take ownership of tasks, and drive execution in a fast-paced environment.