Frontier Data Lead - Coding

Responsibilities

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

Skills

• 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 preferred

Benefits

• 💼 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

Qualifications

• 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
• 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

Company

Turing

Location

San Francisco, CA

Salary

• Range: Not specified
• Period: Yearly
• Currency: USD

Arrangement

Onsite

Category ID

1946

Term ID

1658

Plan ID

1109

Company Website

www.turing.com

Application Type

url

Application URL

Apply Here