ZipRecruiter

Log In

1

Data Annotation Project Manager Jobs in Federal Way, WA

PCL Construction

Project Manager

Bellevue, WA

$148K - $182K/yr

PCL is excited about the growth of data center opportunities throughout the Northwest and is seeking a highly motivated Project Manager to support our expanding portfolio of data center projects.

PCL Construction

Project Manager

Bellevue, WA · On-site

$148K - $182K/yr

PCL is excited about the growth of data center opportunities throughout the Northwest and is seeking a highly motivated Project Manager to support our expanding portfolio of data center projects.

PCL Construction

Project Manager

Bellevue, WA · On-site

$148K - $182K/yr

PCL is excited about the growth of data center opportunities throughout the Northwest and is seeking a highly motivated Project Manager to support our expanding portfolio of data center projects.

TerraPower LLC.

Project Manager

Bellevue, WA · On-site

Project Manager TerraPower is seeking a Project Manager responsible for managing activities related ... Monitor and analyze cost and schedule variances using the earned value (EV) data recorded compared ...

TerraPower LLC.

Project Manager

Bellevue, WA · On-site

Project Manager TerraPower is seeking a Project Manager responsible for managing activities related ... Monitor and analyze cost and schedule variances using the earned value (EV) data recorded compared ...

Integrated Resources INC

Project Manager

Seattle, WA · On-site

Manage all phases of project development and implementation by ensuring business deliverables are ... Analyze problems in terms of process and/or systems functionality; generate data and apply ...

LSCG, LLC

Project Manager

Kent, WA · Hybrid

$75K - $85K/yr

The manager of project management will be the primary point of contact for project management ... Data first mindset - objective results * Exceptional inter-personal and communication skills. (Both ...

Lightspeed Construction Group

Project Manager

Kent, WA · On-site

$75K - $85K/yr

The manager of project management will be the primary point of contact for project management ... Data first mindset - objective results * Exceptional inter-personal and communication skills. (Both ...

McKinstry

Project Manager

Seattle, WA · On-site

Delivers accurate and timely data to support project forecasts. Team Management * Coaches and mentors project team members. * Develops project staffing plans to include labor, subcontractors, etc.

McKinstry

Project Manager

Seattle, WA · On-site

Delivers accurate and timely data to support project forecasts. Team Management * Coaches and mentors project team members. * Develops project staffing plans to include labor, subcontractors, etc.

McKinstry

Project Manager

Seattle, WA · On-site

Delivers accurate and timely data to support project forecasts. Team Management * Coaches and mentors project team members. * Develops project staffing plans to include labor, subcontractors, etc.

previous page

Showing results 41-60

All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Federal Way, WA

Data Annotation Project Manager information

See Federal Way, WA salary details

$18

$64

$89

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

As of Aug 14, 2026, the average hourly pay for data annotation project manager in Federal Way, WA is $64.22, according to ZipRecruiter salary data. Most workers in this role earn between $55.58 and $75.14 per hour, depending on experience, location, and employer.

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.

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 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 job categories do people searching Data Annotation Project Manager jobs in Federal Way, WA look for?

The top searched job categories for Data Annotation Project Manager jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Data Annotation Project Manager jobs?

Cities near Federal Way, WA with the most Data Annotation Project Manager job openings:

Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Federal Way, WA as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $133,580 per year, or $64.2 per hour.

Project Perseus \u007C Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI)

Welo Data

Seattle, WA • On-site

$34/hr

Full-time

Re-posted 23 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.