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Data Annotation Project Manager Jobs in West Virginia

Coalition, Inc.

WV · On-site

$200K/yr

Define annotation guidelines, taxonomies, and edge-case protocols for each labeling program ... Serve as the primary user and requirements driver for Label Studio - defining project configuration ...

Willow Glen Capital

Project Manager

Charleston, WV · On-site

Job Type Full-time Description The Project Manager is responsible for the coordination and the ... Ability to collect and analyze data, exercising sound problem solving skills and implementing ...

Cognex

$74K - $100K/yr

The Project Manager will be interacting and directing resources on projects involving the ... Solid understanding of complicated data analysis theory, project cost estimation, and profitability ...

Waste Connections Inc

$90K/yr

Project Manager Location: JED Landfill, St. Cloud, Florida Compensation: $90,000+ (based on ... Collect and manage data entry of daily operations, materials, and equipment used * Operate and ...

Waste Connections of Canada

$90K/yr

Project Manager Location: JED Landfill, St. Cloud, Florida Compensation: $90,000+ (based on ... Collect and manage data entry of daily operations, materials, and equipment used * Operate and ...

McCarl's LLC

Project Manager

Parkersburg, WV · On-site

General Purpose: The Project Manager is McCarl's day to day, direct customer representative ... Ability to define problems, collect data, establish facts, and draw valid conclusions.

McCarl's LLC

Project Manager

Parkersburg, WV · On-site

General Purpose: The Project Manager is McCarl's day to day, direct customer representative ... Ability to define problems, collect data, establish facts, and draw valid conclusions.Intermediate ...

McCarl's Inc.

Project Manager

Parkersburg, WV · On-site

General Purpose: The Project Manager is McCarl's day to day, direct customer representative ... Ability to define problems, collect data, establish facts, and draw valid conclusions.

WVU Medicine

Project Manager

Bridgeport, WV · On-site

Manages a wide range of specialized Planning, Design & Construction services and projects in ... Ensures that the Resource Center interfaces with existing data systems (manual or automated). 9. ...

Parsons Corporation

We're seeking an experienced Project Manager to lead high-impact efforts within our Defense ... Perform quantitative and qualitative analysis of program and contract data to identify trends ...

Parsons

Project Manager

Summit Point, WV

We're seeking an experienced Project Manager to lead high-impact efforts within our Defense ... Perform quantitative and qualitative analysis of program and contract data to identify trends ...

Wipro Limited

$65K/yr

Background in data collection, AI, data annotation, or digital operations. * Familiarity with workforce management, ticketing, or project management systems. * Experience supporting macOS ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in West Virginia

Data Annotation Project Manager information

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 West Virginia?

For Data Annotation Project Manager jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Data Annotation Project Manager jobs in West Virginia look for?

The top searched job categories for Data Annotation Project Manager jobs in West Virginia are:

What cities in West Virginia are hiring for Data Annotation Project Manager jobs?

Cities in West Virginia 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 West Virginia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Manager, Machine Learning (Data Operations)

Coalition, Inc.

WV • On-site

$200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

About the role
Coalition's machine learning models are only as good as the data they're trained on. This role exists to make sure that data is right.

You'll own labeling quality and methodology across Coalition - designing annotation tasks, defining quality frameworks, and ensuring every labeled dataset meets the standard required to ship production ML models. You'll manage our labeling platform (Label Studio), work directly with ML and product teams to structure labeling programs, and oversee outsourced labeling vendors to hit quality and throughput targets.
 

This role reports to the Chief Product Officer and sits at the intersection of product, ML, and operations. You won't manage internal labelers - all annotation work is outsourced - but you will be the single point of accountability for whether Coalition's labeled data is accurate, consistent, and fit for purpose.
Responsibilities
  • Labeling quality & methodology: Define annotation guidelines, taxonomies, and edge-case protocols for each labeling program. Establish gold standard datasets, inter-annotator agreement (IAA) targets, and audit sampling processes. Identify and remediate mislabeled data in existing datasets.
  • Platform & tooling: Serve as the primary user and requirements driver for Label Studio - defining project configuration needs, workflow designs, pre-labeling pipeline requirements, and integration points with ML infrastructure. Partner with the data engineering team that builds and maintains the platform.
  • Cross-functional partnership: Work with ML engineers, data scientists, and product managers to translate model requirements into well-structured labeling tasks. Challenge teams on task design when labeling instructions are ambiguous or likely to produce unreliable labels.
  • Vendor management: Source, onboard, and manage external labeling vendors and BPOs in coordination with Coalition's operations team. Set quality SLAs, run calibration sessions, and manage feedback loops to labelers. Hold vendors accountable to accuracy, not just throughput.
  • Measurement & improvement: Define and track operational metrics - label accuracy, IAA scores, cost per label, turnaround time - and use them to drive continuous improvement. Identify opportunities for active learning, model-assisted labeling, and pre-annotation to reduce cost without sacrificing quality.
Skills and Qualifications
  • 5+ years in ML data operations, data labeling, or a related field (ML engineering, data science, or data engineering with heavy labeling exposure)
  • Deep understanding of annotation quality frameworks: IAA, consensus labeling, gold standard evaluation, error taxonomy, and calibration workflows
  • Direct experience managing labeling platforms (Label Studio strongly preferred; Scale AI, Labelbox, Prodigy, or similar acceptable)
  • Track record managing outsourced labeling vendors or BPOs for ML data production
  • Familiarity with common ML labeling tasks: text classification, NER, document extraction, intent detection
  • Comfortable working in Python and SQL; bonus if you've built tooling around labeling workflows or quality measurement
  • Strong opinions on what makes labeled data good or bad, and the willingness to push back when it's bad
  • Experience in insurance, cybersecurity, or fintech is a plus but not required
Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $134,400/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks
  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
  • Competitive compensation and opportunity for advancement

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