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Data Annotation Program Manager Jobs in Santa Rosa, CA

AI Data Scientist-Furman lab

Novato, CA ยท On-site

$60K - $75K/yr

... for managing and modeling complex scientific data. Key Responsibilities 1. Develop AI-enabled ... Developing systems that assist with literature mining, data annotation, hypothesis generation, and ...

Technical Program Manager

Bodega Bay, CA ยท On-site

$153K - $198K/yr

Background in cloud platforms, enterprise systems, data platforms, or AI/ML programs. PMP, PgMP ... Management Clear, Structured Communication Decision-Making Under Ambiguity Cross-Functional ...

Program Manager - inRESPONSE

Santa Rosa, CA ยท On-site

$80K - $83K/yr

We're hiring a Program Manager to lead our inRESPONSE team, which operates a dispatch center ... Evaluate progress towards meeting program objectives and prepare regular data and outcome reports.

Technical Program Manager

Bodega Bay, CA ยท On-site +1

$160K - $200K/yr

Experience in using SQL, data analytics, and AI for reasoning, drive data driven discussions, and influence decisions to achieve outcomes * Experience managing programs across cross functional teams ...

Program Manager, Services

Napa, CA ยท On-site

$75K - $92K/yr

The Program Manager, Services will provide leadership, support, and oversight to a ... Work with Data Specialists on reporting to funders and stakeholders on program activities.

Technical Program Manager

Bodega Bay, CA ยท On-site

$153K - $198K/yr

About the Job As a Technical Program Manager, you will own the execution framework that turns Array ... Experience with scripting (Python, SQL) or data visualization tools to automate program metrics and ...

About the Job As an Engineering Program Manager, you will own the execution framework that turns ... Experience with scripting (Python, SQL) or data visualization tools to automate program metrics and ...

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Data Annotation Program Manager information

See Santa Rosa, CA salary details

$33.9K

$106.2K

$188.1K

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

As of Jun 27, 2026, the average yearly pay for data annotation program manager in Santa Rosa, CA is $106,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,200.00 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 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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