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Data Annotation Program Manager Jobs in California

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 ...

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 ...

Apple

Engineering Program Manager

Cupertino, CA · On-site

$141K - $213K/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.

Apple

Engineering Program Manager

Cupertino, CA

$141K - $213K/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.

Comrise

CA · On-site

$26 - $29/wk

Program parts using 2D and/or 3D toolpaths with Surfcam or Mastercam on mills and lathes ... Partner with Project Managers to calculate time and material costs for quoting and provide ...

OpenAI

Program Manager, Human Data

San Francisco, CA · On-site

$162K - $240K/yr

About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research ... You've gone beyond basic data annotation and have hands-on experience with data analytics, using ...

Cartesia

Human Data Operations Manager

San Francisco, CA · On-site

$160K - $190K/yr

Own relationships with vendors such as data annotation firms and contractor platforms, negotiating ... Experience managing large contractor or vendor-based workforces * Proven ability to scale ...

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Data Annotation Program Manager information

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 California as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Program Manager, ML Data

Program Manager, ML Data

Waymo

Mountain View, CA • On-site

$159K - $196K/yr

Full-time

Posted 23 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$159,000-$196,000 USD

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