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Data Annotation Project Manager Jobs in West Virginia

General Motors

Senior AI/ML Engineer

Charleston, WV · On-site +1

$101K - $139K/yr

We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ... Own projects end‑to‑end Take ownership of technical projects from problem framing through ...

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 ...

TERRACON

Project Manager

Morgantown, WV · On-site

Manage all aspects of a geotechnical engineering project to ensure that it is safely completed on ... data wherever projects are located.From AI-supported solutions and predictive technologies to ...

TERRACON

Project Manager

Morgantown, WV · On-site

Manage all aspects of a geotechnical engineering project to ensure that it is safely completed on ... data wherever projects are located. From AI-supported solutions and predictive technologies to ...

Timken

Project Manager

Princeton, WV

The Project Manager is responsible for technical and management reporting-including design data, reports, and schedules-overseeing vendor and supplychain activities, and maintaining clear schedule ...

Timken

Project Manager

Princeton, WV · On-site

The Project Manager is responsible for technical and management reporting--including design data, reports, and schedules--overseeing vendor and supply‑chain activities, and maintaining clear ...

The Timken Company

Project Manager

Princeton, WV

The Project Manager is responsible for technical and management reporting-including design data, reports, and schedules-overseeing vendor and supplychain activities, and maintaining clear schedule ...

TEECOM

Project Manager I

Charleston, WV · On-site

Project Manager I is one of those next-step options. You provide operational support that ... You maintain accurate project tracking data and current reporting. * You reinforce consistent ...

The Timken Company

Project Manager

Princeton, WV · On-site

The Project Manager is responsible for technical and management reporting-including design data, reports, and schedules-overseeing vendor and supply-chain activities, and maintaining clear schedule ...

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.

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.

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. ...

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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 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.

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 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 May 2026, with employment types broken down into 46% Full Time, 43% Part Time, and 11% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Generative AI Data Analyst - USA (Remote)

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Posted 3 days ago

Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

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.