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Data Annotation Project Manager Jobs (NOW HIRING)

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 ...

New

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and sensitive information with integrity. This role is ideal ...

Sunday

Data Annotation Lead

Redwood City, CA · On-site

This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts. Responsibilities : • Build a data annotation team • Manage ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Manage the people side of data annotations * Create documentation * Be in the weeds and annotate data yourself anytime something new is being designed * Create data annotation processes * Own the in ...

Welo Global

Project Epsilon - Somali Data Trainer

$24/hr

About the Role We are looking for detail-oriented Trainers to support an AI data annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

We deliver value added services to our clients that include managed services and managed projects. Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Grid Dynamics Holdings

Technical Project Manager

Own the planning, scheduling, execution, and delivery of high-volume data annotation projects ... Implement project management methodologies (e.g., Agile, Scrum, Kanban) to track progress, unblock ...

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Data Annotation Project Manager information

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$80

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

As of Aug 17, 2026, the average hourly pay for data annotation project manager in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 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.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.
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Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Data Annotation Specialist

TEKsystems c/o Allegis Group

Seattle, WA • On-site

$20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Description
TEKsystems Global Services is seeking meticulous and detail-oriented Data Annotators to support our AI and machine learning teams in developing and optimizing Artificial Intelligence solutions for diverse real-world problems. As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI models by providing high-quality annotated data. Psychology Degree is a huge plus!
What You Will Be Doing:
Annotate large datasets with accurate labels that will be used to train and validate AI models.
Review data inputs and outputs to ensure consistency and quality of annotations..
Use annotation tools to mark up text, images, or other data according to specific guidelines.
Participate in the validation and quality assurance of annotated data to ensure it meets the required standards.
Assist in the development and refinement of annotation guidelines to improve data quality and annotation efficiency.
Provide feedback to improve the annotation tools and processes.
What We Need To See:
BA/BS degree; further education or certification in a relevant field is a plus.
Strong attention to detail and ability to work with large sets of data.
Relevant domain expertise.
Basic understanding of data annotation tools and processes.
Good communication skills and the ability to work effectively in a team.
Ability to follow complex instructions and adhere to specific data annotation guidelines.
Basic computer skills and familiarity with common software tools.
Skills
Data
Psychology Degree is a huge plus!
Top Skills Details
AI Data Annotation
Additional Skills & Qualifications
Ways To Stand Out From The Crowd:
Experience in data annotation or a related field.
Familiarity with AI and machine learning concepts.
Additional language skills, which are beneficial for multilingual data annotation projects.
Proven track record of handling confidential and sensitive information with integrity.
This role is ideal for individuals who are methodical, detail-oriented, and interested in contributing to the development of cutting-edge AI technologies. Join our team and help shape the future of AI applications across various industries.
Experience Level
Intermediate Level
Job Type & Location
This is a Contract position based out of Seattle, WA.
Pay and Benefits
The pay range for this position is $20.00 - $20.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Aug 13, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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