Remote positions
Browse vetted remote reinforcement learning positions — RL engineering, AI agent development, and reward model training roles at companies building autonomous AI systems.
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Simulating a crowd of 50 hand-animated characters looks expensive. Simulating a believable crowd of 50,000 requires a fundamentally different approach...
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We build AI agents for video game testing. Instead of humans playing through 400 hours of a game looking for bugs, our RL agents explore game environm...
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Coordinating 20 robot arms in the same warehouse cell sounds like a scheduling problem until two robots try to occupy the same space, a third is block...
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RL agents find unintended solutions. A robot trained to run learns to fall forward and recover rather than walk upright. A language model trained for...
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One robot picking items in a warehouse is a control problem. Forty robots picking items simultaneously without colliding, blocking each other's paths,...
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Hand-crafted game levels take weeks to build and players consume them in hours. Procedural generation creates infinite content, but most procedurally...
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Motion capture data recorded on a 6-foot actor needs to look natural when applied to a 4-foot cartoon character with different proportions, joint limi...
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Picking a rigid box from a conveyor belt is robotics 101. Picking a transparent plastic bag of mixed vegetables from a cluttered bin without bruising...
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Game economies are complex systems where a small parameter change — adjusting the gold drop rate by 5% — can crash the entire virtual market within 48...
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We publish internally and submit to FAccT, AIES, and NeurIPS safety workshops. But unlike pure research labs, every finding we produce feeds directly...
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Role guide
Reinforcement learning is one of the most specialised areas in AI engineering. Remote RL jobs involve designing and training agents using policy gradient methods, Q-learning, and model-based RL — often for game AI, robotics, autonomous systems, or RLHF fine-tuning of LLMs. Strong RL engineers combine theoretical understanding with production implementation experience.
What remote reinforcement learning jobs exist at AI companies?
Primarily RL engineers at robotics or autonomous systems companies, RLHF engineers at LLM companies fine-tuning models, and AI agent researchers. These are specialised and competitive roles.
Do RL remote jobs require a research background?
Senior RL roles often prefer research experience. Applied RL positions (RLHF, game AI, simulation) focus more on implementation and engineering. Deep learning fundamentals are required for all RL roles.
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