RLHF Jobs

SpaceX is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role focuses on the most critical post-training and reinforcement learning challenges, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. You will work on cutting-edge AI problems with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

$180k - $600k

OpenAI

The Human Flourishing team is dedicated to ensuring AI systems understand and advance human flourishing, aligning AI capabilities with human values and long-term goals. This role involves measuring and improving models' understanding of human values, supporting user agency, and helping users achieve their long-term objectives. The team also focuses on scaling tangible impact in domains like education and mental health, working across research, product, and partnerships to benefit a large user base. Recent work includes Beneficial RL and the MentalHealthBench benchmark.

$380k - $500k

Anthropic

Anthropic is seeking individuals for a paid, fixed-term research residency program, lasting between six weeks and six months. This program is designed for experienced professionals, such as professors in quantitative disciplines, technical founders, or staff-level engineers, who are looking to transition into full-time work focused on ensuring AI systems are safe and beneficial for humanity. While a background in machine learning is not strictly required, candidates should be motivated by AI safety and excited about empirical AI research. The residency offers a scoped project with direct mentorship from Anthropic researchers, access to Claude models and GPU compute, and connections to the AI safety and security research community.

$350k - $500k

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Senior AI Infrastructure Engineer to build, scale, and optimize the end-to-end machine learning platform that powers our autonomous systems. In this role, you will own critical components of our ML platform and MLOps tooling, building and operating the infrastructure required to train, evaluate, host, and serve complex AI models across various environments. You will collaborate closely with AI Research Scientists and Platform Engineers to streamline model development, enhance hardware utilization, and ensure the reliable deployment of models into safety-critical operational settings.

$191k - $253k

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform that powers the company's autonomous systems. This role will own the technical roadmap for the ML platform, building robust infrastructure, MLOps tooling, and systems architecture to train, evaluate, host, and serve complex AI models. The engineer will optimize experimentation velocity for AI Research Scientists, manage large datasets, and contribute to recruiting and mentoring the infrastructure engineering team.

$220k - $292k

Anduril Industries is seeking a backend software engineer to own and evolve their internal LLM agent framework. This role is crucial for integrating generative AI systems into the Lattice software platform, enhancing autonomy and reducing cognitive load for users. The engineer will build the platform that enables teams across Anduril to develop, evaluate, and deploy reliable LLM agents in mission-critical environments, working at the intersection of backend infrastructure, applied AI, agent architecture, model post-training, and evaluation tooling.

$220k - $292k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, specifically the Mission Control group, is responsible for quality assurance, release management, and incident management across the systems that power Anduril's factories. This role will be a senior technical anchor, building automated system integration tests to ensure the quality of product lines as they move through various enterprise systems. The goal is to create a robust testing framework that simulates production environments and empowers engineers and operators to verify quality themselves, leveraging AI to enhance test authoring, maintenance, and triage.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, from supercomputers to Grok models and a suite of applications. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

$180k - $440k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure, from data and model training to production deployment. This role focuses on the infrastructure for large-scale AI training and model post-training capabilities, specifically for frontier model improvement. The work involves distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. The Senior Machine Learning Engineer will own ML work end-to-end, translating ambiguous goals into concrete experiments, implementing and debugging training and RL recipes, building supporting systems, and delivering measurable improvements in model quality, throughput, and reliability. This is a hands-on role requiring independent debugging of both model behavior and distributed training failures.

$195k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Momentic is seeking a hands-on AI Engineer to join their engineering team and collaborate closely with the CTO. This role focuses on enhancing the AI models and agents that power Momentic's AI-native testing platform. You will be instrumental in fine-tuning models, developing robust evaluation strategies, and transforming production data into more reliable and efficient AI agents. Your work will have a direct and significant impact, as Momentic processes over a million tests daily and billions of tokens per hour.

$175k - $250k

Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Glean is seeking an AI Engineer focused on Quality and Post-Training to enhance their Work AI platform. This role is crucial for improving the reliability and usefulness of AI agents by focusing on measurement and quality improvements. You will work at the intersection of applied research, quality assurance, and product engineering to refine Glean's AI assistants and autonomous agents, ensuring they can reason, plan, and act effectively across complex workflows. The position involves optimizing the entire AI stack, including agent harnesses, model routing, prompts, and retrieval, while balancing quality with performance and cost.

$200k - $280k

Scale AI

Scale is at the forefront of the AI revolution, building the Generative AI Data Engine and other products that power the world's most advanced LLMs. The Platform Engineering team is foundational to these efforts, responsible for designing and developing shared platforms, architecting core cloud infrastructure, and redefining software development processes. This role offers exposure to the cutting edge of AI development across various sectors, from startups to governments. You will drive the design and implementation of critical platforms, collaborate with cross-functional teams, and proactively improve engineering practices. This is an opportunity to shape the future of AI infrastructure and contribute to some of the most important work in how humanity interacts with AI.

$180k - $225k

Scale AI

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

$302k - $378k

Scale AI

Scale's LLM post-training platform team builds an internal distributed framework for large language model training, powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. This platform also serves as the underlying training framework for the data quality evaluation pipeline. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works, enabling next generation LLM training, inference, and data curation.

$290k - $363k