Client Director, Frontier Data - US

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category.

Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com .

We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs) research teams to:

Identify opportunities for building training datasets to improve model capabilities and performance

Generate these datasets with high quality and speed

Build automation tools and processes for scalability

Deliver the datasets so that they are easily usable by our clients

Key Responsibilities

Operational Leadership & Performance Management

Lead and scale global delivery teams of 100+, distributed across functions, regions, and levels (ICs, leads, and managers)

Implement performance management systems that go beyond managerial reporting using data-driven metrics, tools, and products to assess productivity, quality, and output consistency

Build strong operational structures that allow for transparency, accountability, and early detection of underperformance

Partner with cross-functional leads to optimize workflows and improve internal tool adoption for delivery efficiency

Data Quality & Scripting-Driven Automation

Own the quality, accuracy, and scalability of data generated for LLM training

Move beyond manual QA layers by leveraging Python scripting, APIs, and automation frameworks to measure, validate, and improve dataset integrity

Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline consistency

Ensure datasets adhere to compliance standards (PII, GDPR, HIPAA) and can be programmatically tested for usability and quality

LLM Training & Evaluation

Lead generation and delivery of high-quality, scalable datasets focused on SFT, RLHF, reasoning, and agentic workflows

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery

Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate, inter-annotator agreement, and pairwise preference scoring)

Client Partnership & Communication

Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery timelines, and escalations

Build relationships with engineering and research stakeholders by delivering consistently high-quality data

Communicate effectively across technical and non-technical audiences; provide transparency through structured updates and quality reporting

Team Development & Tooling

Recruit, mentor, and coach cross-functional leaders (Eng, Data, Ops, and Program Management)

Drive adoption and improvement of internal tools (e.g., task management systems, quality dashboards)

Champion continuous improvement across data quality, tools, and delivery processes

Required Qualifications

10+ years of experience leading large-scale technical delivery organizations, ideally across AI, ML, or data operations

Bachelor's degree in Engineering, Computer Science, or equivalent technical discipline

Demonstrated ability to act as a strategic business partner with our clients, researchers, and engineers at leading LLM labs

Proven success in building and scaling multi-level high performance teams, with distributed global operations

Experience managing managers

Skip-level performance management

Hands-on technical fluency: ability to write and review data validation scripts

Demonstrated experience managing dataset generation or annotation for machine learning model evaluation and/or training

Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks)

Preferred Qualifications

Experience evaluating large language model performance and/or improving model performance via fine-tuning

Strong understanding of data quality frameworks, including automation, toolings and manual processes

Experience in AI data annotation, model evaluation, and fine-tuning platforms

Strong communication and storytelling skills with executive stakeholders

Location SF Bay Area (Hybrid) Compensation: $255,000 to $325,000 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 Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.

Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.

Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges.

Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.

Move at the pace of AI innovation , with the speed, ownership, and impact of a startup.

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.

For applicants from the European Union, please review Turing's GDPR notice here .