Sepal AI is building frontier training data and RL environments for frontier lab researchers and enterprise customers. You will work with top researchers, domain experts, and a team of senior engineers on open-ended projects. You will design datasets, systems, and workflows from scratch and help push the boundaries of what LLMs can do.

RL Data Design & Creation

• Build high-quality evals, training tasks, and verifiers across multiple domains.
• Build RL environments with MCP tools and computer-use interfaces.
• Build “recipes” and automations that make it easy for domain experts to create evals.
• Pair with LLM researchers to design training strategy and data.

Open-Ended Research

• Propose and design novel post-training datasets and benchmarks for SOTA models.
• Prototype your ideas and POC sample datasets.

Platform Engineering

• Shape the direction and feature set for data annotation platforms.
• Implement distributed systems for running agentic tasks.

Skills Required

• Strong Docker and container-engineering skill.
• Experience with DevOps, CI/CD, and AWS.
• Highly proficient in Python and/or Typescript.
• Strong interpersonal skills and the ability to work with multiple teams.
• Good to have: experience with RL, SFT, and other post-training techniques.
• Good to have: in-depth knowledge on any specialized domains or sciences.