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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 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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Posted 2 months ago
Research Engineer, Post-Training (All Industry Levels)
About the role and teamJoining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models,...
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Posted 2 months ago
Research Engineer, AI Safety & Alignment
About the role and teamJoining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safe...
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Posted 2 months ago
Post-Training Research 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 Engineering (Inference Infrastructure)
ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve t...
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Posted 2 months ago
Software Engineer - Training Product
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
Software Engineer - Training Infrastructure
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
Research Staff, LLMs
Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-te...
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Posted 2 months ago
Research Engineer, Post-Training
Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, a...
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Posted 2 months ago
Research Engineer, Knowledge Team
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users...
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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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