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Data Annotation Project Manager Jobs in West Virginia

SpikeIT Global Solutions, Inc.

$91K - $107K/yr

We are seeking an experienced Project Manager to lead large-scale Office 365 migration initiatives ... Drive tenant-to-tenant migration strategies, including data integrity validation, cutover planning ...

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Data Annotation Project Manager information

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.
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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.

Expert Rater-English (US) Speaker

Welo Data

Charleston, WV

$22.13 - $22.14/hr

Part-time

Posted 24 days ago

Job description

Project Details

Job Title: Expert Rater

Local: English

Location: United States

Hourly Rate: $22.14/hour

Capacity:  30hours/week (with the possibility of an extension to 40hours/week) 

Project Duration: 1 Month

Employment Type: Freelance (with the possibility of a Full-time employment extension based on performance and project needs) 

Start Date: 27th July 

QUALIFICATIONS: 

  • Active Listening Skills: Engage with speakers attentively, seek clarification, provide feedback, and demonstrate empathy to comprehend their message deeply. 
  • Effective Communication and Empathy: Clearly express thoughts, emotions, and needs while respecting others' perspectives, communicating assertively yet respectfully. 
  • Proactiveness: Anticipate and prepare for future needs or obstacles to tackle them efficiently before they arise. 
  • Cultural Adaptability: Navigate differences in values, behaviors, and communication styles to foster effective interactions in diverse cultural contexts. 
  • Psychological Safety Cultivation: Create an atmosphere where individuals feel safe expressing themselves, taking risks, and sharing ideas without fear of criticism. 
  • Research Skills: Methodically explore online sources to extract data, insights, or knowledge relevant to specific topics and cross-reference information. 

KNOWLEDGE: 

  • Knowledge of English Language Required (Oral and written comprehension). 
  • Google Workspace - Intermediate proficiency 
  • Understanding of U.S. and project locale customs and societal norms 
  • Ability to evaluate and discern content thoughtfully and understand its societal impact 
  • Understanding of survey structures and data collection methodologies  

REQUIREMENTS: 

  • 1+ years of rating experience required 
  • Understanding of data labeling, annotation, and evaluation methodologies - Required 
  • An academic background in social sciences or quality roles is a plus 

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.