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Delivery Manager - US
Delivery Manager - USTuring • Los Angeles, CA, US
Delivery Manager - US

Delivery Manager - US

Turing • Los Angeles, CA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Delivery Manager - 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.

Delivery Manager for LLM Projects

Location : Remote

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.

Primary Responsibilities :

1. 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.

2. 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.
  • 3. 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.
  • 4. 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.
  • Required Skills and Qualifications :

  • 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.
  • Preferred Skills and Qualifications :

  • 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.
  • Why Join

  • Work at the intersection of AI research and large-scale execution.
  • Lead mission-critical initiatives that power next-generation AI models.
  • Build and mentor a high-performing global team.
  • Influence both technical innovation and delivery excellence in a fast-evolving space
  • 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.

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