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Data Annotation Program Manager Jobs in Oakland, CA

Sieve

Data Operations Lead

San Francisco, CA · On-site

... manage a distributed human workforce for data annotation, curation, and quality review • Build and improve QA processes to ensure data output meets the standards required by frontier AI labs • ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ... Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ...

Welocalize, Inc

Data Quality Analyst

San Francisco, CA · On-site

$70 - $110/hr

Data Management and Annotation: Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. Handle data efficiently, ensuring its ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ... Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Define labeling taxonomies and annotation specifications Qualifications: * 1-3+ years of experience in data operations, project management, or a technical coordination role, ideally supporting ML or ...

Abaka AI

Research Program Associate

Mountain View, CA · On-site

... • Manage and maintain GitHub repositories, contributor workflows, issue tracking, and ... collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is ...

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Data Annotation Program Manager information

See Oakland, CA salary details

$35.6K

$111.6K

$197.5K

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

As of Sep 4, 2026, the average yearly pay for data annotation program manager in Oakland, CA is $111,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $144,100.00 per year, depending on experience, location, and employer.

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.

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 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.

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

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Data Annotation Program Manager jobs near you

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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