Strategic Project Lead
Turing
About the role
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
Position Overview
We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.
This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.
Primary Responsibilities
1. Team Leadership & Development
Lead, mentor, and grow large-scale teams of annotators and trainers.
Drive performance management, career development, and targeted training.
Foster a culture of excellence, ownership, and continuous learning.
Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.
2. Project Management & Coordination
Define and manage project scope, objectives, timelines, and quality metrics.
Align with cross-functional stakeholders on goals and deliverables.
Proactively identify and resolve delivery risks, blockers, and dependencies.
Provide clear and consistent reporting on progress, challenges, and solutions.
3. Data Quality & Integrity
Own quality control and data integrity across the annotation lifecycle.
Analyze datasets to identify trends, anomalies, and insights for improvement.
Implement best practices for annotation, evaluation, and data curation.
Share learnings and continuously improve quality processes.
4. Technical Collaboration & Innovation
Partner with engineering and research teams to optimize internal tooling.
Stay ahead of emerging trends in AI, ML,