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Data Annotation Project Manager Jobs in Portland, OR

AditiStaffing

Project manager

Beaverton, OR

Cost Management - Manages project cost estimates; compiles project budget data based on actual versus forecast hours for accounting purposes. Project Risk Management - Defines risk management plan ...

NTT DATA Services

IV&V (IQMS) Project Manager

Portland, OR · On-site +1

$100K - $142K/yr

Req ID: 374892 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The IV&V Project Manager will provide Independent Quality Management Services for State of Oregon ...

NTT DATA Services

IV&V (IQMS) Project Manager

Portland, OR · On-site +1

$100K - $142K/yr

Req ID: 374892 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The IV&V Project Manager will provide Independent Quality Management Services for State of Oregon ...

NTT DATA Services

IV&V (IQMS) Project Manager

Portland, OR · On-site

$100K - $142K/yr

Req ID: 374892 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The IV&V Project Manager will provide Independent Quality Management Services for State of Oregon ...

NTT DATA

IV&V (IQMS) Project Manager

Portland, OR · On-site

NTT DATA is a business and technology services leader, and they are seeking an IVV (IQMS) Project Manager to provide Independent Quality Management Services for State of Oregon projects. The role ...

Hoffman Construction

Project Manager

Portland, OR

$95K - $140K/yr

The Project Manager will work within the Operations Department and will report to the Project ... Experience in organizing technical data in a neat and accurate manner. Familiar with CSI ...

Procom Consultants Group

Project Manager

Hillsboro, OR · On-site

Strong data management skills needed to manage the checkpoint library (rules used to scan intel.com ... Project Manage Nice to Have Skills Microsoft Excel proficiency. Operational and process management ...

Hoffman Construction

Project Manager

Portland, OR · On-site

$95K - $140K/yr

The Project Manager will work within the Operations Department and will report to the Project ... Experience in organizing technical data in a neat and accurate manner. Familiar with CSI ...

Precision Construction

Project Manager

Portland, OR · On-site

$95K - $140K/yr

The Project Manager will work within the Operations Department and will report to the Project ... Experience in organizing technical data in a neat and accurate manner. Familiar with CSI ...

Hoffman Equipment Yard

Project Manager

Portland, OR · On-site

$95K - $140K/yr

The Project Manager will work within the Operations Department and will report to the Project ... Experience in organizing technical data in a neat and accurate manner. Familiar with CSI ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Portland, OR

Data Annotation Project Manager information

See Portland, OR salary details

$17

$60

$85

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

As of Jun 15, 2026, the average hourly pay for data annotation project manager in Portland, OR is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $71.39 per hour, depending on experience, location, and employer.

What is the average salary for a data annotation project manager?

The average salary for a data annotation project manager typically ranges from $70,000 to $110,000 annually, depending on experience, location, and company size. In regions with a high cost of living, such as California, salaries tend to be higher to compensate for living expenses.

Does data annotation really pay you?

Data annotation project managers oversee labeling tasks and typically earn a salary or hourly wage, depending on the employer and project scope. Compensation varies based on experience, location, and the complexity of the annotation work, but it is generally a paid role with standard employment benefits. Freelance or contract annotators may be paid per task or project.

What are the key skills and qualifications needed to thrive as a Data Annotation Project Manager, and why are they important?

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation project managers oversee this work, ensuring accuracy and quality using tools like labeling platforms. The process is legitimate and widely used in industry for creating reliable datasets.

What is the highest salary of data annotation?

The highest salaries for data annotation project managers can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of projects managed. Senior roles with extensive oversight or specialized skills in tools like labeling platforms may earn higher compensation. Salary ranges vary widely based on industry and company size.

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 are popular job titles related to Data Annotation Project Manager jobs in Portland, OR? For Data Annotation Project Manager jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Annotation Project Manager jobs in Portland, OR look for? The top searched job categories for Data Annotation Project Manager jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Annotation Project Manager jobs? Cities near Portland, OR 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 Portland, OR as of June 2026, with employment types broken down into 87% Full Time, 3% Part Time, 3% Temporary, and 7% Contract. Highlights an 90% In-person, 3% Hybrid, and 7% Remote job distribution, with an average salary of $126,854 per year, or $61 per hour.
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Posted 18 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases

Apply