Precursor Labs is an AI company focused on creating high-quality problems and training data for RL environments, for agent training at Frontier Labs.
We work on challenging and highly technical problem spaces where models are pushed to reason, adapt, and improve.
Our current work includes building RL environments for chip design, where we help create the core problems used to train frontier AI models.
At Precursor Labs, we build domain-specific problem sets, tasks, and training data used by RL environments for frontier training.
Our work sits at the junction of software engineering, artificial intelligence, and domain-specific problem design. We focus on creating structured, meaningful challenges that allow AI systems to learn complex skills in high-impact technical domains.
The principles behind how we build high-quality AI training work.
We believe in clear communication, intellectual honesty, and being transparent about what works, what does not, and what needs to improve.
We take ownership of our work and hold ourselves to a high standard. The problems we create may influence how future AI systems are trained, so we approach our work with responsibility and care.
We are excited by hard problems. We look for people who are curious, self-driven, and motivated by the opportunity to work on technology that can shape the future.
We operate at the edge of what is possible in AI. We value new ideas, creative problem-solving, and the willingness to explore unfamiliar technical territory.
Precursor Labs is for people who want to do meaningful technical work at the forefront of AI. If you are excited by artificial intelligence, reinforcement learning, problem design, software engineering, or the future of chip design, this is an opportunity to contribute to systems that help train the next generation of AI models.
We value people who are honest, passionate, curious, and driven to build excellent work. Your contributions will matter.
You will work on problems that are directly connected to training advanced AI systems. This is not routine software work. It is challenging, research-adjacent, and deeply technical.
Frontier AI models are only as strong as the environments and training tasks they learn from. At Precursor Labs, you help create those foundations.
Our work requires careful thinking, precision, creativity, and technical depth. You will help design tasks that test and improve AI reasoning in complex domains.
We are working in a rapidly evolving field. You will have the opportunity to learn quickly, take ownership, and contribute to cutting-edge AI work from an early stage.
The next generation of AI systems will need better environments, better tasks, and better training data.
At Precursor Labs, we are helping build those foundations.
Come be a part of training the future of AI.
Reach out at hello@precursorlabs.ai or send us a note using the form.