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Data Annotation Program Manager Jobs (NOW HIRING)

... various teams to improve data quality and compliance in large-scale annotation programs ... Managers, Operations, Product, QA teams, and Leadership to drive quality initiatives • Support ...

$120K - $140K/yr

Job Purpose The Program Manager's primary responsibilities are managing large scale client programs ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

$120K - $140K/yr

Job Purpose The Program Manager's primary responsibilities are managing large scale client programs ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

... within a data annotation or machine learning team. * Proven track record of team management ... mentorship, and performance optimization. * Strong analytical skills with the ability to derive ...

Track data sourcing activities across multiple programs and stakeholders. * Maintain data ... Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ...

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 ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles. • ...

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Data Annotation Program Manager information

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$31K

$97.1K

$172K

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

As of Jun 28, 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.
More about Data Annotation Program Manager jobs
What cities are hiring for Data Annotation Program Manager jobs? Cities with the most Data Annotation Program Manager job openings:
What states have the most Data Annotation Program Manager jobs? States with the most job openings for Data Annotation Program Manager jobs include:
What job categories do people searching Data Annotation Program Manager jobs look for? The top searched job categories for Data Annotation Program Manager jobs are:
Infographic showing various Data Annotation Program Manager job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Technical Program Manager - Data Operations Lead

Zoox

Boston, MA

$163K - $223K/yr

Full-time

Medical, Life, PTO

Posted 20 days ago


Job description

We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:
  • Translate  and coalesce company-wide feature requirements into concrete and comprehensive data deliverables

  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. 

  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox. 

  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
$163,000 - $223,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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