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Data Annotation Program Manager Jobs in Livermore, CA

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Manage the people side of data annotations * Create documentation * Be in the weeds and annotate data yourself anytime something new is being designed * Create data annotation processes * Own the in ...

Wayve

Lead Technical Program Manager, Data

Sunnyvale, CA · On-site

$259K - $312K/yr

The role As the Lead Technical Program Manager for Data at Wayve, you'll build and lead the ... Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset ...

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All JobsData Annotation Program JobsData Annotation Program Manager JobsData Annotation Program Manager Jobs in Livermore, CA

Data Annotation Program Manager information

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$36.4K

$114K

$201.8K

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

As of Aug 16, 2026, the average yearly pay for data annotation program manager in Livermore, CA is $113,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $147,200.00 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 is a data annotation program manager?

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.

What are popular job titles related to Data Annotation Program Manager jobs in Livermore, CA?

For Data Annotation Program Manager jobs in Livermore, CA, the most frequently searched job titles are:

What cities near Livermore, CA are hiring for Data Annotation Program Manager jobs?

Cities near Livermore, CA with the most Data Annotation Program Manager job openings:

Data Annotation Program Manager jobs near you

Technical Program Manager III

campus4tech

Mountain View, CA • On-site

$152K - $197K/yr

Full-time

Re-posted 21 days ago

Job description

Job Title: Technical Program Manager III
Location: Bellevue, WA/Seattle, WA/San Francisco, CA/ Mountain View, CA
Job Mode: Onsite
Contract Duration: 12 months
Summary:
The Client's R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge AI research initiatives. This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned with the needs of our research and product teams.
You will collaborate closely with researchers, data scientists, ML engineers, and vendor operations to drive the end-to-end lifecycle of large-scale data labeling and curation efforts - from strategy and planning to execution, delivery, and quality evaluation.
Requirement:
  • Bachelor's or Master's degree in a technical field (e.g. Computer Science, Data Science, Machine Learning, Information Systems) or equivalent practical experience.
  • 7+ years of experience in technical program management, project management, or operations in data-centric or AI/ML environments.
  • Strong understanding of ML development workflows, data pipelines, and annotation lifecycle.
  • Experience managing large-scale data labeling or data collection efforts, including working with third-party vendors.
  • Familiarity with big data platforms (e.g. Apache Spark, Databricks, Hadoop) and data warehousing concepts.
  • Excellent organizational, problem-solving, and communication skills with the ability to influence cross-functional stakeholders.
  • Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality.
  • Excellent communication, negotiation and analytical skills, with the ability to document standard operating procedures and processes
  • Advanced working SQL Knowledge, Ability to build and maintain analytics to track, forecast, and visualize consumption through ad-hoc SQL, reports, and dashboards
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Self-motivated and able to work independently, as well as in a team environment.
  • Preferred good working knowledge of GPU technology and its applications in generative AI and machine learning.
  • Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus.

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