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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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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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Training a robot to pick irregular objects in simulation takes 4 hours. Getting that policy to work on a real robot arm takes 4 months. The sim-to-rea...
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Keyframe animation takes a skilled artist 2 weeks to produce 10 seconds of realistic character motion. Our procedural animation system generates physi...
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We're building autonomous decision systems for industrial robotics. Not warehouse pick-and-place — complex assembly tasks where a robot needs to figur...
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We publish internally and encourage conference submissions. Our research team has contributed to NeurIPS and ICML over the past two years, and we expe...
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Game designers spend months tuning character abilities, weapon damage, and economy parameters — then players find broken combinations within 48 hours...
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Training robots in the real world is expensive, slow, and occasionally destructive. Our simulation platform lets robotics teams train manipulation pol...
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Our content moderation platform uses RLHF to align model behavior with client-specific content policies. But alignment is fragile — models that behave...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We are a fabless semiconductor company. We design chips — AI accelerators, networking ASICs, and custom silicon for edge inference applications. We ha...
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There's something philosophically interesting about reinforcement learning that doesn't show up in supervised learning: the agent is responsible for g...
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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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