Software Engineer to build and scale Reinforcement Learning Environments (RLE) platform, which are interactive systems for frontier AI models to learn real-world tasks. The role involves owning components end-to-end, designing backend systems and data pipelines, and improving system reliability and performance, supporting model training and evaluation.

Software Engineer on the Coding Pod will build data infrastructure and pipelines for frontier AI coding models, focusing on creating large-scale, high-quality benchmark datasets for evaluating model performance on coding tasks. This role involves owning end-to-end data pipelines, integrating with developer ecosystems, and working with evaluation systems and agentic coding tools.

Associate Software Engineer to build Reinforcement Learning Environments (RLE) platform, including supporting infrastructure, backend systems, frontend interfaces, and data pipelines for model training and evaluation. The role involves creating modular workflow domains and working with senior engineers to improve system reliability and performance.

Software Engineer to build and scale the Reinforcement Learning Environments (RLE) platform, which involves designing and implementing backend systems, data pipelines, and modular workflow domains to support frontier AI model training and evaluation. The role requires experience in backend/distributed systems, ML-adjacent infrastructure, and cloud technologies.

Senior Software Engineer to build and scale Reinforcement Learning Environments (RLE) platform, simulating real-world workflows for AI model training and evaluation. This role involves driving architecture for scalable systems and data generation pipelines, partnering with research and product teams, and ensuring system reliability and observability.

Manager, Strategic Projects leading a team focused on AI data and evaluation work. Responsibilities include managing SPLs, driving project delivery (data pipelines, labeling workflows), translating needs into plans, owning performance metrics, ensuring a good experience for fellows, and partnering with Product/Engineering on tooling. Success involves consistent delivery, improved operational metrics, and strong team leadership. Requires 5+ years in operations, 2+ years managing teams, and experience with complex projects, ideally in AI data operations or ML ops.

This role involves evaluating AI-generated content related to electronics design (KiCad/LibrePCB) and providing feedback to improve AI understanding of EDA workflows. It's a contract role for experienced hardware/PCB designers.

This role involves evaluating AI-generated audio content and providing feedback to improve AI understanding of audio tasks and production workflows. It requires hands-on experience with audio production software like Ardour, Audacity, or LMMS, and a working knowledge of audio engineering concepts.

This role involves evaluating AI-generated content related to Godot game development and providing feedback to improve AI understanding of game development tasks and engine workflows. It requires hands-on experience with Godot, GDScript, or interactive media, and involves annotating, labeling, and reviewing AI outputs for accuracy and relevance. No prior AI experience is necessary.

This role involves evaluating AI-generated game development content and providing feedback to improve AI understanding of game development tasks and engine workflows. It requires hands-on experience with game development engines and tools, but no prior AI experience is necessary. The work is project-based, hourly, and remote.

This role involves evaluating AI-generated spatial data content and providing feedback to improve AI understanding of GIS tasks. It requires QGIS experience and knowledge of spatial data analysis, with no prior AI experience needed.