Delivery Manager - Code (LLM Training) at Turing

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, TechnologyIndustries

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

Responsibilities

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
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
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
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

Skills

Key technologies and capabilities for this role

Project ManagementTeam LeadershipData AnnotationData CurationLLMAI/MLPerformance ManagementGamificationProcess InnovationTooling

Questions & Answers

Common questions about this position

What experience level is required for the Delivery Manager role?

The role requires 8+ years of experience as a seasoned Delivery Manager, with required skills listing 10+ years in engineering, program management, or delivery of large-scale projects.

Where is the Delivery Manager position located?

The position is located in SF, Bay Area.

What are the main responsibilities of this role?

Responsibilities include team leadership and development, project management and coordination, ensuring data quality and integrity, and technical collaboration and innovation.

What kind of teams will I be managing in this role?

You will lead large-scale teams of 100+ team members, including annotators and trainers.

What does the company culture emphasize for this role?

The culture emphasizes excellence, ownership, continuous learning, and motivation strategies like gamification to boost engagement and reward top performers.

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$132.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.

Crowded market with new AI-driven talent platforms like Gaper and Aloa.

Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.

Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.

Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.

Global tech talent shortage increases reliance on Turing's AI-powered talent matching.

Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

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