Rlhf Jobs (NOW HIRING)

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 ...

RLHF, reward modeling, policy optimization) to optimize guardrail model performance, calibration, and robustness against adaptive adversaries. 1. Curate and generate adversarial training data: direct ...

This role owns the commercialization of complex, multi-year enterprise programs spanning data collection, annotation, evaluation, RLHF, multimodal datasets, and secure AI data operations. Reporting ...

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 ...

Responsibilities : • Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. • Implement new methods in OpenAI's core model training 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 ...

Required : • Significant hands-on experience with RL, RLHF, RLAIF, post-training, alignment, or large-scale fine-tuning for modern foundation models. • Deep understanding of RL/post-training ...

... RLHF / 模型评测相关经验 有图像,视频,多模态数据产品经验 有自动标注,人机协同,专家标注,众包标注相关经验 有从 0 到 1 搭建平台产品经验

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 ...

RLHF, reward modeling, policy optimization) to optimize guardrail model performance, calibration, and robustness against adaptive adversaries. * Curate and generate adversarial training data: direct ...

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 ...

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 ...

Work with post-training team on RLHF and behavioral optimization * Build tools for model introspection and capability mapping * Ship continuous evaluation systems that catch regressions before users ...

We are hiring a Post-Training Research Scientist to build RLHF, DPO, and reward modeling capabilities from the ground up. This is a greenfield role: you will define the infrastructure, research ...

Direct algorithms like SFT, RLHF, and Chain-of-Thought into measurable, automated data production standards and agentic workflows. • Contribute to data pipeline design and improvements to increase ...

Develop constitutional AI principles and assist with RLHF alignment pipelines. Qualifications: * Background in cybersecurity, prompt engineering, or adversarial ML. * Experience with jailbreak ...

The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be ...

Post-train LLM agents using RLHF, DPO, GRPO, PPO, and emerging methods * Build pipelines that convert human-labeled traces and verifiable signals into training data * Architect multi-turn, tool-using ...

Apply RLHF, ranking, and reward modeling techniques to improve response quality over time * Stay current with the latest generative AI developments and apply them to new use cases Qualifications

Apply and advance techniques like RLHF, RLAIF, and constitutional approaches to shape how agents reason, act, and collaborate with humans in long-horizon tasks. • Scaling and Exploration: Measure ...