data curation 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

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

Sieve is seeking a Member of Technical Staff, Applied Research to join their team. In this role, you will train and evaluate multimodal models, focusing on video generation and audiovisual understanding, to understand how data influences model capabilities. You will own the research process end-to-end, from identifying model weaknesses and forming hypotheses to building experiments and evaluating results. This involves fine-tuning models, developing reproducible training and evaluation pipelines, and conducting controlled experiments on data quality and supervision. The ideal candidate enjoys bridging research and engineering, implementing methods, debugging training runs, and ensuring findings are reliable and impactful for data sourcing, curation, and usage.

$150k - $350k

The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, cultivate future AI builders, and make transformative contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions with the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing MBZUAI as a global hub for high-performance computing in deep learning and driving impactful discoveries.

$150k - $400k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the tolling industry, a market projected to double in the next decade. Our lean team operates across the entire system, from roadside cameras to final billing, ensuring every vehicle processed results in an accurate toll transaction. We are seeking an engineer who is passionate about shipping models into production and owning the full lifecycle from raw sensor data to deployment monitoring, cloud to edge. This role is ideal for someone who thrives on taking models from a notebook to real-world application.

$145k - $195k

Deepgram is a leading platform in the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents. We are seeking an experienced researcher with extensive experience in Large Language Models (LLMs) and a deep understanding of transformer architecture to join our Research Staff. This role involves tackling the hard technical aspects of LLMs, including data curation, distributed large-scale training, transformer architecture optimization, and Reinforcement Learning (RL) training. We are looking for individuals who see unsolved problems as opportunities, can quickly validate ideas, scale proofs-of-concept, and are obsessed with using AI to amplify their impact. If you are energized by these challenges and driven to create elegant, scalable solutions, this role offers transformative potential.

$150k - $250k

The role of pre-training researchers is central to our roadmap, blending research with large-scale data engineering to assemble pre-training datasets and data systems for the next generation of AI models. You will design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance, working with automated pipelines and human-in-the-loop processes. This position requires both scientific insight and production-grade code, ideal for someone who thrives at the intersection of data, machine learning, and systems, and is excited by the challenge of shaping frontier AI. The role encompasses fundamental research and practical engineering, expecting candidates to write high-performance code and read technical reports, appealing to those who enjoy deep theoretical exploration and hands-on experimentation.

$350k - $475k

Thinking Machines is seeking individuals to advance the science of visual perception and multimodal learning, focusing on the interaction between vision and language at scale. The role involves designing architectures that fuse pixels and text, building datasets and evaluation methods for real-world comprehension, and developing representations that ground abstract concepts in the physical world. This position blends fundamental research with practical engineering, requiring high-performance code and the ability to conduct deep theoretical exploration alongside hands-on experimentation to shape the foundations of AI learning.

$350k - $475k

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

You will own the training pipeline behind the models that power both Parallel’s search stack and Parallel’s agents. On the search side, this involves the rankers, classifiers, and query models that surface the right information. On the agent side, this means the models that help our agents plan, reason, and execute high-value tasks over web data. You will build the path from real product usage to high-quality training data, fine-tune and evaluate these models rigorously, and ship them safely to traffic used by millions. You have a deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality, and you care about your research being applied to product and systems that millions use.

$150k - $300k

The Institute of Foundation Models is a research lab focused on building, understanding, using, and managing foundation models. We aim to advance AI research, cultivate future AI leaders, and drive innovation in the knowledge economy. As a Research Scientist in Reinforcement Learning, you will be instrumental in shaping the scientific and technical direction for developing emergent capabilities within Foundation Models. This role involves pioneering novel Reinforcement Learning approaches, prototyping new learning methods, contributing to large-scale RL training infrastructure, and producing high-quality, replicable code for public release. You will also build and maintain a research portfolio through collaborations.

$150k - $450k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will work on cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers, tackling fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries, establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k