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Remote Reinforcement Learning Jobs
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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Posted 1 week ago
Strategic Project Lead - Code
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with fr...
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Posted 1 week ago
Staff Software Engineer
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with fr...
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Posted 1 week ago
Senior Research Engineer, LLM Training & Post-Training
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploy...
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Posted 1 week ago
Investigations Analyst
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with fr...
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Posted 1 week ago
Senior Manager, Learning from Demonstration
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Posted 1 week ago
Senior/Staff AI Research Engineer
Hume AI is seeking talented researchers and engineers interested in working with our AI research team to build state-of-the-art speech-language models...
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Posted 1 week ago
AI Researcher
Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM tr...
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Posted 1 week ago
Senior Director, AI
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Posted 1 week ago
Member of Product Staff, Foundation Models & Post-Training
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built fo...
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Posted 1 week ago
Principal Applied Research Engineer
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in...
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Role guide
What to expect in remote Reinforcement Learning jobs
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 you'll work on
- Train RL agents for game AI, simulation, or autonomous decision-making systems
- Implement RLHF pipelines for fine-tuning language models on human preferences
- Design reward functions and environment interfaces for custom RL training
- Build multi-agent RL systems for complex interaction and strategy problems
What companies look for
- Deep RL algorithm knowledge — PPO, SAC, DQN, DDPG, or model-based RL
- Environment design and gym-compatible interface development
- RLHF experience — preference data collection, reward modelling, PPO fine-tuning
Frequently asked questions
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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