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Data Annotation Project Manager Jobs in Menlo Park, CA

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

Experience analyzing LiDAR point clouds, video, and image annotation data. * Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines. * Strong written and ...

Encord

Strategic Projects Lead

San Francisco, CA · On-site

The role As a Strategic Projects Lead, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with cross ...

Xdof

Technical Program Manager

San Francisco, CA

$152K - $196K/yr

Ensure data annotation projects meet client requirements on accuracy and SLA, while satisfying ... Who You Are * Background: 2-5 years of project management experience; background in AI data ...

Abaka AI

Project Manager

Palo Alto, CA · On-site

They are seeking a Project Manager to work closely with clients to confirm project requirements ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Menlo Park, CA

Data Annotation Project Manager information

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$19

$67

$94

How much do data annotation project manager jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data annotation project manager in Menlo Park, CA is $67.77, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $79.33 per hour, depending on experience, location, and employer.

What is a data annotation project manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

What are the key skills and qualifications needed to thrive as a data annotation project manager?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

What are some common challenges faced by data annotation project managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What job categories do people searching Data Annotation Project Manager jobs in Menlo Park, CA look for?

The top searched job categories for Data Annotation Project Manager jobs in Menlo Park, CA are:

What cities near Menlo Park, CA are hiring for Data Annotation Project Manager jobs?

Cities near Menlo Park, CA with the most Data Annotation Project Manager job openings:

Data Annotation Project Manager jobs near you

Video Data Annotator

iMerit

San Jose, CA • Remote

$35/hr

Contractor

Posted 12 days ago

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Job description

Video Data Annotator

Role Type: Contractor

Location: Remote (US Only)


iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
  2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
  3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
  4. Collaborate with the iMerit project team to clarify annotation standards and resolve ambiguities in the scoring process.
  5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
  6. Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
  7. Deliver annotations and evaluations consistently and within set project timeframes.


Preferred Qualifications

  1. Mid-level experience with video data annotation across various platforms or projects.
  2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
  3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
  4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
  5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
  6. Familiarity with AI review processes or quality assurance in data annotation projects.
  7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

Company Description

iMerit, an EXL Company, is a global leader in AI data solutions, trusted by the world's most innovative organizations to power mission-critical AI initiatives. Our platforms and domain expertise support companies to build accurate, reliable, and scalable AI solutions.