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Annotation Product Manager Jobs (NOW HIRING)

Senior Product Manager

$129K - $170K/yr

Partner with the users and cross-functional collaborators - annotators, annotation supervisors ... Manage the product release process and develop launch materials in collaboration with marketing and ...

Senior Product Manager

$129K - $170K/yr

Partner with the users and cross-functional collaborators - annotators, annotation supervisors ... Manage the product release process and develop launch materials in collaboration with marketing and ...

About the Role As a Product Manager, you'll build products that help the world's leading AI labs ... Annotation and Eval Interface : Build the system of record for creating and analyzing datasets

Product Manager

San Francisco, CA · On-site

$180K - $300K/yr

About the Role As a Product Manager, you'll build products that help the world's leading AI labs ... Annotation and Eval Interface : Build the system of record for creating and analyzing datasets

Products like our voice agents and agentic runtime are joint efforts with product engineering - but ... Where data investment goes: acquisition, annotation, and labeling priorities. * The quality bar ...

We are seeking a talented Product Manager (7+ years experience, ideally in enterprise B2B) to have ... Architect how we transform large-scale data systems (annotation, content detection, attribution ...

We are seeking a talented Product Manager (7+ years experience, ideally in enterprise B2B) to have ... Architect how we transform large-scale data systems (annotation, content detection, attribution ...

Product Manager, Fleet

San Francisco, CA · On-site

$180K - $215K/yr

From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to ... About the Role We're looking for a Product Manager to own key parts of LangSmith Fleet, our product ...

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Annotation Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do annotation product manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for annotation product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is an annotation product manager?

Annotation Product Managers are professionals responsible for overseeing the development, quality, and delivery of data annotation products or services. They work at the intersection of machine learning, product management, and data operations, ensuring that annotated datasets meet the needs of AI and ML teams. Their work involves coordinating with data scientists, annotators, and engineers to define requirements, manage workflows, and ensure high-quality labeled data for training algorithms. Annotation Product Managers play a key role in enabling reliable AI models by ensuring the accuracy and scalability of annotation processes.

What are the key skills and qualifications needed to thrive as an annotation product manager?

To thrive as an Annotation Product Manager, you need a solid understanding of data annotation workflows, product management principles, and experience in AI/ML projects, typically supported by a relevant degree. Familiarity with annotation tools (like Labelbox or Scale AI), agile project management software, and possibly certifications such as PMP or Scrum are highly valuable. Strong communication, stakeholder management, and problem-solving abilities help you collaborate across technical and non-technical teams. These skills are crucial to deliver high-quality labeled data, align cross-functional objectives, and ensure the success of AI-driven products.

How does an annotation product manager typically collaborate with engineering and data science teams?

Annotation Product Managers work closely with engineering and data science teams to define product requirements, prioritize annotation features, and ensure high-quality labeled data is delivered for machine learning projects. They often facilitate cross-functional meetings, translate business needs into technical specifications, and help resolve any blockers related to data annotation processes. Effective communication and a clear understanding of the annotation workflow are essential, as these teams rely on the Product Manager to align objectives and keep projects on schedule.

What is the difference between Annotation Product Manager vs Data Scientist?

AspectAnnotation Product ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; experience in product managementBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentCollaborates with engineering, data teams, and stakeholders on annotation tools and processesAnalyzes data, builds models, and interprets complex datasets
Industry UsageUsed in AI, machine learning, and data labeling projectsApplied across tech, finance, healthcare for data analysis and modeling

The Annotation Product Manager focuses on managing annotation tools and workflows to support AI projects, while the Data Scientist analyzes data and develops models. Both roles require technical knowledge, but differ in their primary responsibilities and focus areas within data projects.

What are popular job titles related to Annotation Product Manager jobs?

For Annotation Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Annotation Product Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Technical Product Manager - Data Annotation & Labelling

San Mateo, CA • On-site

$190K - $219K/yr

Full-time

Re-posted 24 days ago


Job description

Position Overview

We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection. This individual will manage a cross-functional team, build scalable systems, and make a significant impact in a rapidly evolving space. This role is crucial for driving execution and continuously improving workflows and systems to support rapid growth. This is a high visibility role that will have enormous impact on the company's trajectory. 

Responsibilities
  • Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines.
  • Drive data operations programs collaborating with operations managers, technicians and engineering
  • Build 0-1 solutions for large scale data pipelines
  • Work with executive leadership to develop data operations strategy and align these to overall corporate goal
Preferred Qualifications
  • 5+ years of experience in a fast-paced, startup-like environment
  • 2+ years in a technical role (e.g., engineer, program manager, product manager) at a technology company
  • Strong technical problem-solving skills, with the ability to quickly learn complex systems
  • Proven track record of supporting cross-functional stakeholders across customers, product, and engineering
  • Proven ability to communicate effectively with senior management
  • Ability to define and drive technology strategy
  • Previous entrepreneurial experience
  • Experience building products or initiatives from 0 to 1
  • BS/MS in Technical discipline