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Data Annotation Program Manager Jobs (NOW HIRING)

Waymo

Program Manager, ML Data

Mountain View, CA

As a ML Data Program Manager, you will be the operational backbone of our machine learning ... Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing ...

Apple

Senior Manager - AI Data Operations

Austin, TX

... annotation programs that balance accuracy and speed while maintaining quality standards. You will ... Prior experience managing a data operations team. Minimum Qualifications MS in Computer Science ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

Abaka AI

Quality Project Associate

Mountain View, CA · On-site

... at AI data platforms, crowdsourcing platforms, trust & safety organizations, or large-scale annotation operations • Experience managing reviewers, contributors, quality programs, or operational ...

New

Waymo

Program Manager, ML Data

Mountain View, CA · On-site

$159K - $196K/yr

As a ML Data Program Manager, you will be the operational backbone of our machine learning ... Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing ...

Waymo

Program Manager, ML Data

Mountain View, CA · On-site +1

$159K - $196K/yr

As a ML Data Program Manager, you will be the operational backbone of our machine learning ... Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing ...

GE

Data Manager - AI Development

Waukesha, WI

Annotation & Labeling Oversight * Coordinate data annotation activities with internal teams and ... Program Tracking & Communication * Serve as the central coordination point for AI data activities ...

Infotree Global Solutions

Data Engineer-AI/ML

Manhattan, NY

$126.20K - $151.60K/yr

Document development for data asset management * Development of annotation project strategies ... interfaces, and guidelines * Serve as an interface for feedback and questions from annotators back ...

Infotree Global Solutions

Data Engineer-AI/ML

Pittsburgh, PA

$107K - $128.50K/yr

Document development for data asset management * Development of annotation project strategies ... interfaces, and guidelines * Serve as an interface for feedback and questions from annotators back ...

Apple

Engineering Program Manager

Cupertino, CA

$141.80K - $213.70K/yr

Design and implement ML Data Ops strategies optimized for each feature (collection and annotation ... Coordinate data programs across internal data functions (data engineering, QA) and other partners.

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$31K

$97.1K

$172K

How much do data annotation program manager jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data annotation program manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Annotation Program Manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a Data Annotation Program Manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are Data Annotation Program Managers?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
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Data Annotation Program Manager jobs near you
Infographic showing various Data Annotation Program Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Program Manager, ML Data

Program Manager, ML Data

Waymo

Mountain View, CA

Other

Posted 22 days ago

Job description

As a ML Data Program Manager, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data-the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions.

You will:

  • Collaborate across cross functional groups and  align execution to meet product goals
  • Partner with technical leads, product managers and technical program managers to drive execution on broad cross-functional efforts
  • Lead proactive risk management efforts and contingency plans across the program landscape to deliver on the program
  • Set up and sustain mechanisms that enable organizational efficiencies, and improve speed of decision making and execution
  • Communicate across all levels of the organization to ensure all partners are aware of program decisions, status, and changes
  • Own the details - Dive deep, identify gaps, evaluate risks and misalignment

You have:

  • 8+ years of experience in engineering  program management, with at least 3+ years focused specifically on data-centric programs for machine learning
  • Deep understanding of the ML model lifecycle and the critical role of data within it (e.g., data sourcing, labeling, quality evaluation)
  • Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum)
  • Demonstrated technical judgment in the ML/data domain, with the ability to facilitate trade-off discussions about data pipelines, tooling, and data quality with engineering teams
  • Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing third-party vendor relationships
  • Exceptional communication skills, capable of articulating program strategy, status, and technical details to both executive and engineering audiences

We prefer:

  • Master's degree in a technical field, ideally related to AI/ML
  • You contributed to technical decision making by analyzing trade-offs, asking the rights questions and offering alternate solutions
  • Experience designing and reporting on program metrics that directly measure the impact of data quality on model performance

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