About Turing
Based in San Francisco California Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data specialized talent and training pipelines that advance thinking reasoning coding multimodality and STEM. For enterprises Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows unlock transformative outcomes and drive lasting competitive advantage.
Recognized by Forbes The Information and Fast Company among the worlds top innovators Turings leadership team includes AI technologists from Meta Google Microsoft Apple Amazon McKinsey Bain Stanford Caltech and MIT. Learn more atwww.turing.com
About Turing
Based in San Francisco California Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data specialized talent and training pipelines that advance thinking reasoning coding multimodality and STEM. For enterprises Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows unlock transformative outcomes and drive lasting competitive advantage.
Recognized by Forbes The Information and Fast Company among the worlds top innovators Turings leadership team includes AI technologists from Meta Google Microsoft Apple Amazon McKinsey Bain Stanford Caltech and MIT. Learn more atwww.turing.com
The Role
Turing builds large-scale datasets and reinforcement learning RL environments that power post-training for the worlds leading AI labs and enterprises including OpenAI Anthropic Google DeepMind Microsoft AI Amazon Apple and many more. We create RL environments to evaluate and improve our customers models on complex long-range multi-step workflows across high-GDP-value domains such as Finance Sales Retail Developer Tools Collaboration Customer Experience.
The environments vary depending on the model capability being evaluated improved a few examples of environment types are listed here
Environments for Software Engineering coding agents UI-Environments for Computer-UseBrowser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications
TheStaff Research Engineer - Code
will own end-to-end the creation of datasets RL environments and evals for frontier AI labs in the domain of coding agents and software engineering. This is ahands-on technical leadership rolewhere you influence revenue directly - you will be mapped to one or more AI labs and interface directly with researchers engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this you will build and manage teams of software engineers researchers QAs and contractorsdata-annotators from Turings talent pool of 4M developers.
Youll be responsible for delivering projects at frontier quality and scale-owning data quality throughput and timely delivery. Youll define and manage data pipelines validation workflows and review processes to ensure datasets meet the highest standards for realism correctness and diversity. Youll also develop automations synthetic data generation systems and internal tools to scale production efficiently.
In short youll run your project like a startup within Turing owning both the technical architecture and the operational execution required to produce best-in-class datasetsenvironmentsevals to make the worlds best coding agents and models even better at real-world coding tasks across the software development lifecycle.
What youll do
Lead the creation of datasets rl environments and evals focused on Coding Agents Software Engineering for one or more AI lab customers.
Ensure that everything you ship to clients meets frontier standards for realism correctness diversity and difficulty.
Set up quality rubrics automa