Surge AI
Research Engineer, Coding Evaluation & Training Data
United States - Remote · Remote · Full-time · Posted Jul 13, 2026
- Experience
- 3–6+ years of professional software engineering experience building and maintaining real systems.
About the job
Builds and runs coding-data projects, training workflows, and evaluations that help frontier AI models improve their coding capabilities.
What you'll do
- Own coding-data projects from scoping and pilot design through execution, iteration, and scale-up.
- Design agentic training workflows, tasks, rubrics, golden sets, and reward signals that reflect real-world software engineering.
- Evaluate coding data and worker output, establish qualification processes, and set up or partner on technical environments such as containers, repositories, and test harnesses.
What they ask for
- Strong coding ability in at least one mainstream language and comfort with production codebases.
- Experience reasoning about and debugging technical environments, including containers, dependencies, and automated test setups.
- High standards for correctness and code quality, with an understanding of how software engineering teams work.
- Excellent written and verbal communication skills, including translating client goals into actionable plans.
Tools
containers
AI focus
Design training data, agentic coding workflows, evaluations, and reward signals to improve frontier models’ coding capabilities.
Model-written summary · the original posting is authoritative