RLHF Jobs

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role focuses on Multi-Agent systems, which are increasingly vital for AI deployment, from small subagents within products to large groups tackling complex problems. Training Claude for optimal performance and safety in these large groups is a challenging new frontier in reinforcement learning and a new way to scale compute at test time.

$500k - $850k

WRITER is a company focused on orchestrating AI-powered work for leading enterprises, aiming to expand human capacity through superintelligence. Their platform enables companies to build and deploy AI agents grounded in their data and powered by enterprise-grade LLMs. WRITER is a rapidly growing company in the enterprise generative AI space, seeking talented individuals to join their mission to create a better future of work with AI.

$199k - $325k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Vision team is seeking a research engineer to focus on visual and spatial reasoning as core capabilities for LLMs. This role involves owning the end-to-end process of creating training data and RL environments for visual knowledge work. You will identify tasks, build evaluations, design rewards, and scale data, combining applied research with hands-on data work. Collaboration with external vendors, pretraining, RL, and product teams is essential to ensure the environments built translate into real-world knowledge work capabilities.

$350k - $850k

Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

Databricks

Databricks is seeking a Staff Technical Lead for Customer Experience Intelligence (CXI) to architect and deliver an AI-native vertical workflow platform. This platform will orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, initially focusing on customer support and expanding to other domains like IT, Security, Legal, and Marketing. The role involves driving rapid backend development with a focus on quality, safety, and reliability, designing state-machine and agentic workflows, and implementing robust observability and rollback mechanisms for AI-driven decisions. The Technical Lead will also act as a liaison between CXI, Product, Platform Engineering, and business stakeholders, while mentoring engineers and subject matter experts.

$190k - $261k

Databricks

Databricks is seeking an engineer to help lead the development of the data and agent layer for enterprise digital advertising. This role involves building solutions to address the significant data and intelligence gaps in advertising campaign performance, which currently relies on slow, manual, and often inaccurate processes. You will be instrumental in creating systems that ingest, normalize, aggregate, and analyze advertising data at scale, enabling better decision-making and optimization for enterprises spending billions on digital ads.

$191k - $254k

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale.

$152k - $288k

As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale. Working with researchers, engineers, domain experts, and customers, you will investigate how data, rewards, environments, and optimization methods shape model behavior. Your work will influence frontier models, Mercor’s products, and the broader research community through releasing blogposts, technical reports, and papers.

$250k - $500k

At Thinking Machines, we build tools that empower individuals to customize AI models for their specific needs, including the ability to train model weights. In this role, you will focus on frontier customization techniques and contribute to developing a leading post-training engine called Tinker. Your work will involve a comprehensive understanding of Reinforcement Learning (RL) science, and your findings will directly influence Tinker's training defaults, API design, and the open-source Tinker Cookbook. You will collaborate with internal research teams and contribute to open science initiatives for external partners.

$350k - $475k

Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools that allow users to customize AI for their unique needs. This role leads the Fine-tuning Science team, focusing on frontier customization techniques and the Tinker post-training engine. It's a player-coach position where you will remain hands-on with scientific research while also guiding the team, shaping its direction, and ensuring research findings are integrated into Tinker. You will collaborate with internal research teams, contribute to open science, and engage with external users.

$350k - $475k

HUD is seeking a Delivery Engineer to manage complex, time-sensitive data and evaluation programs for leading AI labs, data vendors, and internal teams. This role involves transforming ambiguous technical requirements into actionable plans, coordinating resources, and ensuring the quality and utility of data for evaluating and enhancing LLMs and agents. You will also be responsible for vendor management and developing processes and tools to support scalable and reliable delivery. This position offers the opportunity to work on critical AI infrastructure, backed by significant VC funding and a growing team of accomplished researchers and engineers. You will play a key part in shaping the future of AI by ensuring data integrity and facilitating effective model development.

$100k - $225k

Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. As a Member of Technical Staff, Alignment, you will be instrumental in ensuring that alignment is a core component of all our work, from the code we deploy and the runbooks we write to the papers we publish. This role involves testing models in advanced environments, identifying and mitigating potential risks like reward hacking and deception, and building robust tools to monitor and secure AI agents.

$250k - $450k

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to Grok models and their suite of applications. The RL Environments team is seeking a Software Engineer to build systems that transform real-world data into high-quality environments and tasks for reinforcement learning. This role involves creating more realistic training environments and owning the platforms and quality layers for trustworthy data production at scale. You will collaborate closely with ML Platform and research teams to convert various data sources into training-ready environments, making high-quality RL data more accessible for model training efforts.

As a Research Engineer on the Synth Data team at SpaceXAI, you will invent and scale the synthetic data that teaches our models new capabilities. You will own the full loop: spotting a capability the model is missing, designing a data generation strategy, building reliable pipelines and verifiers, and validating that the resulting data actually moves the model. You will form hypotheses about what data will help, build the systems to produce it at scale, run ablations, and read the resulting traces and training signals to understand why it worked (or didn’t). Your datasets will go directly into frontier training runs and shape the development of Grok models.

You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for agents, applications, and enterprises. Our platform combines proprietary indexes with LLM-optimized retrieval systems to solve complex problems in search, large language models, and large-scale infrastructure, making AI systems more reliable, transparent, and useful. This hybrid product engineering and go-to-market role offers significant impact at the intersection of these areas, focusing on shaping our API surface and engaging directly with key customers.

$200k - $250k

As a Staff Engineer on the AI team, you will lead the technical direction of AI agents that transform natural language into production-ready applications. This involves defining how LLMs are used to tackle complex challenges such as maintaining context across large codebases, orchestrating intuitive multi-step workflows, and managing everything from minor UI adjustments to significant architectural decisions. This role goes beyond simple API integration; you will establish the patterns and systems that guide AI reasoning and generation of full-stack applications, influencing the AI strategy across multiple teams and impacting the daily experience of millions of users building products with Bolt.

Mintlify is seeking product-minded engineers to build the AI experiences behind their documentation platform. This role involves combining strong full-stack engineering with applied AI expertise to create agents that reliably solve real customer problems. As a Senior Applied AI Engineer, you will take ownership of complex AI products from early experimentation through production, helping to define technical direction, establish evaluation methods for agent performance, and elevate the quality of both AI products and engineering practices. You will architect and ship customer-facing AI experiences, build reliable agent systems, drive evaluation and iteration, and transform prototypes into scalable, reliable products.

$190k - $265k

NVIDIA is seeking a highly technical Engagement Lead to drive the integration of Generative and Agentic AI software with enterprise ISV partners. In this role, you will serve as a trusted advisor to Software Platform Architects and unite teams behind a unified technical vision. You will remain hands-on, designing and shipping production agentic systems for demanding workloads while accelerating the adoption of NVIDIA's stack across key business initiatives. This position requires versatility at the intersection of platform strategy, a strong AI/ML background with hands-on execution, and the communication skills to engage with senior leaders. It's a high-impact role offering broad skill development and exposure to the cutting edge of Agentic AI, with insights directly shaping NVIDIA's product development.

$224k - $431k

Fireworks is seeking new graduates for its Member of Technical Staff role, offering a unique opportunity to work on real AI systems in production from day one. As an MTS, you will write and ship code for one of the world's busiest inference platforms, serving hundreds of models at massive scale. The company matches new hires to teams based on their strengths and interests, with potential work spanning inference, model training, distributed systems, cloud infrastructure, developer platforms, or full-stack application engineering. You will be paired with a senior engineer mentor and undergo a structured ramp-up, starting with well-scoped problems and progressing to owning features and systems independently. Fireworks emphasizes a fast-paced environment with a high bar and a commitment to employee development.

$160k - $180k

Anthropic

At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.