synthetic data Jobs

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a growing team of researchers, engineers, and operators backed by significant VC funding. We are seeking a Research Manager to lead research focused on enhancing HUD's agent training data and evaluations for frontier models. This role involves guiding research engineers through complex projects, translating findings into scalable methods, and staying technically engaged while ensuring rigorous experimentation and impactful results. The ideal candidate will possess a deep understanding of model training dynamics, including how signals, data, and evaluation design influence outcomes.

$120k - $295k

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. Our founding team brings deep expertise from leading AI organizations, with a proven track record in deploying large-scale deep learning models, training state-of-the-art self-driving models, and managing massive data pipelines. We are at the forefront of innovation, addressing the scarcity of training data by advancing simulation, synthetic data generation, and learning from experience, which are essential for achieving AGI, ASI, and physical intelligence. We partner with top AI labs and enterprises to provide the data necessary for models to move from general knowledge to domain expertise and from chatbots to agents.

$168k - $168k

OpenAI

OpenAI is seeking a Researcher for the Chat and Multimodal Safety team to advance the safety of frontier AI models across text, vision, and audio modalities. This role involves shaping how models perceive and reason about the world, translating that understanding into safe behavior, and developing research, training methods, and evaluations for multimodal safety. The ideal candidate will combine deep technical expertise with strong safety judgment, bridging perception and language, and have experience with vision-language models, modality fusion, or safety for multimodal systems.

$380k - $500k

Halluminate is a data research lab focused on building benchmarks and RL environments to advance AI in knowledge work, initially concentrating on economically valuable workflows in financial services and consulting, with plans for rapid expansion. This role involves owning platform engineering, developing advanced long-horizon RL environments, and contributing to the foundational growth of the engineering organization.

$215k - $275k

Distyl AI is seeking Research Engineers to bridge the gap between frontier AI research and production systems that deliver tangible business value. This role is ideal for engineers passionate about designing AI systems, rapidly prototyping new concepts, and transforming promising ideas into reliable, production-ready systems for real-world customer environments. Research Engineers will operate at the intersection of applied research, systems engineering, and customer deployment, designing and implementing compound AI systems, conducting experiments, building evaluation frameworks, and collaborating with AI Researchers, AI Engineers, and customer stakeholders. The focus is on turning new techniques into robust, measurable, and operable systems within production settings.

$150k - $250k