Client Director, Frontier Data - US
Turing, Palo Alto, CA, United States
Client Director, Frontier Data - US
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. 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 include: Operational leadership & performance management Data quality & scripting-driven automation LLM training & evaluation Client partnership & communication Team development & tooling Required qualifications include: 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 include: 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 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 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. For applicants from the European Union, please review Turing's GDPR notice here.
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. 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 include: Operational leadership & performance management Data quality & scripting-driven automation LLM training & evaluation Client partnership & communication Team development & tooling Required qualifications include: 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 include: 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 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 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. For applicants from the European Union, please review Turing's GDPR notice here.