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Data Annotation Project Manager Jobs in Portland, OR

ESG Project Manager

Tualatin, OR · On-site

$110 - $165/hr

Own data management & reporting * Own and manage ESG data systems for GLO, ensuring accuracy ... Strong analytical and project management skills in highly matrixed and complex environments.

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Project Managers scope, plan, oversee, track progress, identify and create risk mitigation plans ...

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Project Managers scope, plan, oversee, track progress, identify and create risk mitigation plans ...

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Project Managers scope, plan, oversee, track progress, identify and create risk mitigation plans ...

They are seeking an experienced technical project manager with a background in digital marketing to ... data management skills needed to manage the checkpoint library (rules used to scan intel.com ...

Project Manager 4

Tualatin, OR · On-site

$90 - $120/hr

Project Management: Plan & manage multiple concurrent products with mult-factory build strategies ... Data-Driven Decision Making: Utilize SAP systems & PowerBI Dashboards to gather data, develop Key ...

Showing results 41-60

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 Sep 7, 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 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 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:

Infographic showing various Data Annotation Project Manager job openings in Portland, OR as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% In-person, 2% Hybrid, and 15% Remote job distribution, with an average salary of $126,854 per year, or $61 per hour.

ESG Project Manager

SupportFinity™

Tualatin, OR • On-site

$110 - $165/hr

Other

Posted 5 days ago


Job description

The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The impact you’ll make

As a Project Manager at Lam, you will play a pivotal role in driving projects and programs for ESG within the Global Logistics Organization. You’ll be at the forefront of project initiation through delivery, using your expertise to coordinate cross-functional teams and ensure projects are completed on time and within budget. In this role, you will directly contribute to implementing strategy, enhancing data integrity, and supporting cross-functional sustainability projects that align with our corporate vision and departmental commitments. The ideal candidate works independently on complex assignments with a high degree of initiative, bringing both strategic insight and operational rigor to ESG efforts with creative problem-solving skills and tenacity. This candidate will be joining a small team with a large purview should be comfortable working across many levels and geographies, operating both as a data analyst and strategic thinker.

What You’ll DoSupport Strategy Implementation through ESG Projects
  • Lead ESG projects that support GLO’s sustainability strategy and long-term vision.
  • Collaborate with internal stakeholders to identify ESG opportunities and integrate sustainability into operational decision-making, leveraging AI to build modeling scenarios for use cases and decision outcomes.
  • Support GLO integration into new business processes, such as packaging and spares, serving as a SPOC to aid in building end-to-end process understanding and driving ESG into decision-making.
  • Provide actionable insights for management to support decision-making through data collection and analysis.
  • Develop and deliver clear and concise communications for leadership teams and stakeholders.
Own data management & reporting
  • Own and manage ESG data systems for GLO, ensuring accuracy, completeness, and consistency across global operations. This role will drive continuous improvement in data quality and reporting processes, including leveraging AI to drive automation and standardization.
  • Implement and maintain ESG methodologies in alignment with evolving standards such as the Science Based Targets initiative (SBTi) and Greenhouse Gas (GHG) Protocols.
  • Ensure compliance with internal and external ESG reporting requirements, including annual ESG disclosures. Monitor regulatory framework and industry developments to ensure GLO ESG practices remain current and effective, leveraging AI to effectively meet company and market needs.
Who We’re Looking For
  • Bachelor’s or Master’s degree in Environmental Science, Sustainability, Engineering, or related field.
  • 5-7 years of experience in project management, ESG, sustainability, or environmental data management, preferably in logistics, operations, or supply chain.
  • Strong analytical and project management skills in highly matrixed and complex environments.
  • Excellent communication and stakeholder engagement skills across global teams.
  • Proven ability to lead complex projects and drive cross-functional collaboration.
  • Familiarity with ESG and sustainability concepts, such as carbon footprinting, water stewardship, waste reduction practices, green building standards, and/or sustainability reporting standards.
Preferred Qualifications
  • Excellent verbal and written communication skills.
  • Experience with ESG reporting software and data visualization tools.
  • Familiarity with circular economy principles and sustainable logistics practices.
  • Familiarity and understanding with reporting frameworks including SBTi, GHG Protocol, CDP, and other sustainability reporting standards.
  • Semiconductor industry or global supplier experience is a plus.
Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company’s intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Our Perks And BenefitsAbout the companyLam Research
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