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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
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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Posted 1 week ago
Staff Engineer - Robot Learning, Embodied AI
About Niantic SpatialAt Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images,...
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Posted 2 weeks ago
GTM, Embodied AI
About Niantic SpatialAt Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images,...
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Posted 2 weeks ago
AI research scientist
🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintell...
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Posted 4 weeks ago
Deployed Engineer, Professional Services (APAC)
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 1 month ago
Deployed Engineer, Professional Services
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 1 month ago
Deployed Engineer, Professional Services (NYC)
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 1 month ago
Deployed Engineer, Professional Services (San Francisco)
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 1 month ago
AI Engineer
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 2 months ago
Member of Technical Staff (GPU Performance Engineer)
We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will desig...
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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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