RL Environment Engineer (Full-time, Part-time, or Contract)
About the role
Besimple AI is building RL-based training environments for voice agents. This role focuses on designing, implementing, and scaling reinforcement learning environments and simulators for conversational AI, turning real-world interactions into learnable tasks with robust evaluation.
Responsibilities
- Build training environments. Define tasks, observations, actions, state transitions, rewards, and termination conditions.
- Design rewards and verifiers. Implement checks for task completion and intermediate progress; identify reward hacking and ambiguous criteria.
- Turn human interactions into tasks using recorded conversations and demonstrations; construct scenarios, starting states, alternative continuations, and failure cases.
- Build interactive simulators that respond to agent actions and maintain consistent state; support varied, repeatable interactions.
- Make environments reliable at scale (rollout interfaces, parallel execution, logging, replay, debugging); ensure reproducibility and easy integration with training pipelines.
- Validate what agents learn by collaborating with researchers on baseline policies and experiments; assess transfer to unfamiliar scenarios.
Qualifications
- Hands-on experience building or substantially extending environments used to train or evaluate RL agents.
- Strong engineering skills and experience writing tested, maintainable software.
- Experience defining task interfaces, managing environment state, implementing rewards, and debugging agent–environment interactions.
- Ability to investigate why an agent fails or learns for the wrong reasons and improve the environment accordingly.
- Clear technical communication; comfortable taking an open-ended problem from prototype to reliable system.
- Recent graduates with substantial academic/open-source projects welcome; industry experience also valued.
Skills
About Besimple AI
Expert-in-the-loop eval data for AI
Besimple AI helps teams ship AI with confidence by making high-quality, human-in-the-loop data fast, flexible, and scalable. We’re not a generic annotation vendor—we’re your on-demand evaluation and safety data engine. In under a minute, you can spin up your own data-annotation workspace tailored to your workflow, so your team can move from “we think it works” to measurable, repeatable results. Modern AI changes quickly. Models evolve, prompts shift, and new edge cases appear the moment you go live. Besimple is built for that reality. Our platform generates task-specific annotation experiences aligned to your data and goals, so you can capture reliable judgment on everything from factuality and safety to preference and policy compliance. The result is an always-current evaluation loop that keeps pace with your product, rather than a one-off test that goes stale. We specialize in evaluation and expert-grade safety data—not commodity labeling. That means we recruit and train domain experts and SMEs to judge model outputs against high bars, and we design the interfaces and guidelines to make those judgments consistent, auditable, and useful for both offline evals and production monitoring. Your team shouldn’t be waiting on back-and-forth specs and custom tooling. With Besimple, you can paste or stream your data, click to generate a tailored interface, and start collecting ground truth right away. When the task changes, the UI adapts with it. We combine pragmatic product design with a human-in-the-loop operating model. Besimple helps you create clear, actionable guidelines and then enforces them with workflow guardrails, reviewer consensus, and targeted spot-checks—so you can trust the numbers you ship. Because we’re built for iterative work, teams can quickly compare prompts, models, and policies; spot regressions; and push fixes backed by fresh, expert-reviewed data. Great models don’t happen by accident—they’re the product of tight feedback loops, expert judgment, and tooling that bends to your data, not the other way around. If you’re ready to replace slow, one-size-fits-all processes with a purpose-built evaluation and safety engine, Besimple gives you the fastest path from raw data to reliable decisions—so you can iterate boldly and ship with confidence.
More open roles at Besimple AI
- Linguist - Speech & Conversational AI4d agoHybrid (San Mateo, CA, US)
- Community Growth Manager, Contributor Acquisition4w agoHybrid (San Mateo, CA) · Operations
- Strategic Projects Lead — Audio Data3mo agoHybrid (San Mateo, CA) · Operations
- Audio QA Lead - Part Time Contractor4mo agoHybrid (San Mateo, CA) · Operations