Frontier Data Lead, Code - US

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 at www.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. A few examples of environment types are listed here:

• Environments for Software Engineering: coding agents
• UI-Environments for Computer-Use: Browser-Use agents
• MCP-based Environments for general function-calling agents across various enterprise and consumer applications

Frontier Data Lead - Code

The Frontier Data Lead - 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 a hands-on technical leadership role where you will influence revenue directly - you will be mapped to one or more AI labs and interface directly with researchers and engineers at those labs to understand their needs and build data offerings to address those needs.

To achieve this, you will:

1. End-to-End Ownership: Data Quality Process Design and Team Building

   • Lead the creation of datasets, RL environments, and evals focused on Coding Agents and 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, automated validation scripts, and human review processes for every stage of data generation.
   • Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turings 4M developer network.
   • Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

   • Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs.
   • Gather feedback and co-define success criteria for your projects.
   • Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

   • Fine-tune models in-house on Turing-generated datasets or Turing-RL-environment-generated trajectories to determine model improvement as a proof of data quality.
   • Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks and leverage these insights to inform product roadmap.
   • Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively.
   • Publish research papers and technical posts on Turings data products, innovations in synthetic data generation, automation pipelines, evaluations of frontier agents and models, and Turings model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

   • Oversee development of internal tools that accelerate data generation and verification, e.g., automated data scraping pipelines, unit test generators, repo sandboxing.
   • Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What Were Looking For

• Post-training experience on SWE tasks or experience building coding agents.
• We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing, hiring, and setting up QA processes.
• Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the worlds leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact path to AGI: your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and ultimately Superintelligence.
• Coding is the core reasoning substrate of intelligence - advancing models ability to understand, design, and write code is effectively advancing their capacity for logic planning and abstract thought.
• Real Impact GDP: automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.

Talent-dense team where youll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

Values

• We are client first: We put our clients at the center of everything we do because their success is the ultimate measure of our value.
• We work at Start-Up Speed: We move fast, stay agile, and favor action because momentum is the foundation of perfection.
• We are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.

Advantages of Joining Turing

• Amazing work culture: Super collaborative & supportive work environment, 5 days a week.
• Awesome colleagues: Surround yourself with top talent from Meta, Google, LinkedIn, etc., as well as people with deep startup experience.
• Competitive compensation
• Flexible working hours
• Dont meet every single requirement: Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing, we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity. So, if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turings GDPR notice here.