Rlhf Jobs (NOW HIRING)

Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the ...

Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the ...

Build and lead the sales organization for the RLHF vertical, including hiring, training, and performance management. * Define and execute the GTM strategy for enterprise and mid-market clients in the ...

A tech startup in San Francisco is seeking a Head of Sales to own the GTM strategy and drive revenue growth for the RLHF vertical. This candidate will build and manage the sales function, establish ...

The team publishes regularly and ships findings into RLHF pipelines and evaluation suites. PhD or equivalent in ML / economics / decision theory expected. Posted on the board of The Incentives Lab ...

... PT / SFT / RLHF / Eval 各阶段对数据的不同要求,推动数据标准持续迭代. 任职要求 • 3 年以上相关经验,做过视频 / 图像 / 多模态数据的标注或评测 ...

They combine platforms, tools and a large expert community to deliver training data, evaluation, RLHF and multilingual AI solutions for complex, high impact use cases. The work is global, fast moving ...

RLHF, Training, AI## To create truly intelligent and aligned AI, human expertise is indispensable. As an AI Training Specialist, you will be at the cutting edge of AI development, actively shaping ...

You will work on the most critical post-training and reinforcement learning challenges at any given time - including reward modeling, preference optimization (RLHF/DPO), and RL for improving ...

Design human‑in‑the‑loop workflows for RLHF, preference data, expert grading, model behavior evaluation, and quality improvement. * Build tools to measure environment quality, task difficulty ...

... and RLHF. Responsibilities : • Lead the fine-tuning process for large pre-trained models, focusing on making models behave appropriately in different contexts (e.g., following instructions ...

Proficiency in modern RLHF algorithms: PPO, DPO, GRPO, etc. * Hands-on experience training reward models and finetuning LLM/VLM/VLA * Knowledge of distributed RL training at scale * Proficiency with ...

Proficiency in modern RLHF algorithms: PPO, DPO, GRPO, etc. * Hands-on experience training reward models and finetuning LLM/VLM/VLA * Knowledge of distributed RL training at scale * Proficiency with ...

Proficiency in modern RLHF algorithms: PPO, DPO, GRPO, etc. * Hands‑on experience training reward models and finetuning LLM/VLM/VLA * Knowledge of distributed RL training at scale * Proficiency ...

Preferred : • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and ...

Preferred : • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and ...

Preferred : • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and ...

Proficiency in modern RLHF algorithms: PPO, DPO, GRPO, etc. * Hands-on experience training reward models and finetuning LLM/VLM/VLA * Knowledge of distributed RL training at scale * Proficiency with ...

You'll be embedded directly with applied researchers and ML engineers running RLHF, fine-tuning, and preference-tuning pipelines, reading model outputs, calling out what's wrong, and turning that ...

Preferred : • Experience with RLHF or preference learning. • Experience with LLM agents or tool-using AI systems. • Multi-agent systems or long-horizon planning. • Simulation environments for ...