Frontier Data Lead Coding

Location: San Francisco, California, United States

About Turing

Based in San Francisco, California, Turing is the world’s 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 world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

Turing powers model post-training for the world’s leading AI labs, including OpenAI, Anthropic,

Google DeepMind, Microsoft AI, Amazon, Apple, and more.

We do this by building comprehensive evals, large-scale fine-tuning datasets, reinforcement learning environments, and benchmarks to measure and improve model capabilities across

domains.

The Code team at Turing specifically focuses on advancing end-to-end software engineering capabilities of frontier models and coding agents like Codex, Claude Code, Gemini CLI. This

includes capabilities across the software development lifecycle:

• real-world code generation (SWE-Bench-like environments across programming

languages, various levels of complexity, from real open-source and private codebases)

• ML / data science
• UI/design to code
• terminal use (TerminalBench type data)
• code review
• code planning / reasoning
• PR writing
• PRD to code
• scientific coding / simulations
• open ended computer use for software tasks (OSWorld type data)
• and more...

TheRole
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 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 contractors/data-annotators from Turing’s talent pool of 4M+ developers.

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows,

and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal

tools to scale production efficiently.

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

Whatyou’lldo
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 /

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 Turing’s 4M+ developer network.

• Interview, onboard, train, and mentor team members to ensure consistent output quality

and technical excellence.

1. 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, to gather feedback, and to co-define success

criteria for your projects.

• Provide regular progress updates, surface insights from model evaluations, and

incorporate client feedback to improve future iterations.

1. 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 Turing’s data products, innovations in

our synthetic data generation / automation pipelines, evaluations of frontier agents and

models, and Turing’s model fine-tuning results on our datasets.

1. 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.

Whatwe’relookingfor

• 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 them 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

• 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

Don’t 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 you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.