Delivery Manager - Code (LLM Training)

Turing • San Francisco, CA

20h

About The Position

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.

Requirements

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Nice To Haves

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.

Responsibilities

• Team Leadership and 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.
• Project Management and 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.
• Data Quality and 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.
• Technical Collaboration and Innovation ● Partner with engineering and research teams to optimize internal tooling. ● Stay ahead of emerging trends in AI, ML, and multimodal processing. ● Champion innovations that reduce task completion times and improve efficiency. ● Maintain clear and scalable documentation for processes and training.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees