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Data Annotation Project Manager Jobs in Charleston, WV

CAI

CQV Senior Project Manager

Charleston, WV

$120K - $175K/yr

The CQV Senior Project Manager is responsible for leading services delivered to life sciences ... If you would like more information about how your data is processed, please contact us.

Welo Data

Expert Rater-English (US) Speaker

Charleston, WV · On-site

$22.13 - $22.14/hr

Project Details Job Title: Expert Rater Local: English Location: United States Hourly Rate : $22.14 ... Understanding of data labeling, annotation, and evaluation methodologies - Required * An academic ...

PetDesk

Implementation Project Manager

Charleston, WV · Remote

$29 - $31/hr

As an Implementation Project Manager at PetDesk, you will play a vital role in the onboarding and ... Our compensation is grounded in industry data and designed to be competitive, transparent, and ...

TC Energy

Project Coordinator

Charleston, WV · On-site

The Project Coordinator is responsible for ensuring Projects meet Project Governance Standards ... Database management and data modeling experience; PowerBI a plus To remain competitive, support our ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Charleston, WV

Data Annotation Project Manager information

See Charleston, WV salary details

$16

$55

$78

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

As of Aug 10, 2026, the average hourly pay for data annotation project manager in Charleston, WV is $55.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $65.43 per hour, depending on experience, location, and employer.

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.
What job categories do people searching Data Annotation Project Manager jobs in Charleston, WV look for? The top searched job categories for Data Annotation Project Manager jobs in Charleston, WV are:
Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Charleston, WV 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, with an average salary of $116,253 per year, or $55.9 per hour.

CQV Senior Project Manager

CAI

Charleston, WV

$120K - $175K/yr

Full-time

Re-posted 27 days ago

Job description

Position Description:
The CQV Senior Project Manager is responsible for leading services delivered to life sciences clients in all aspects of CQV-project execution and capital project Operational Readiness. 
 
Skills and Characteristics Required:
- Significant experience in Project Management Principles and Practices
- Demonstrated experience in successful Project Management processes
- Expert in project execution throughout the entire project lifecycle
- Intimately familiar with Project Planning, Initiation, Execution and Closeout requirements
- Expertise in Project Risk Analysis
- Mastery of skills in Stakeholder Engagement, Communications Management and Planning, and the various tools utilized by a successful Project Manager
- Capable of translating Project Management execution to CAI’s Operational Readiness Model
-Skilled in applying situational leadership to appropriately manage project resources, allocate time-budgets, check and adjust
 
Requirements include:
Position Requirements:
10+ years of industry experience in Commissioning, Qualification, and Validation and/or Computer Systems Validation and related technical areas
Demonstrated experience in successful project management processes, along with being an expert in project execution throughout the entire project lifecycle.
Communicate impact on budget due to changes in scope and schedule.
Understanding of Earned Value Management
 
Other Requirements:
Fluent in English
Excellent oral and written communication skills
Able to travel domestically and internationally as required 
US Candidates must have been vaccinated or willing to be vaccinated for COVID-19 prior to starting employment 
 
About CAI
CAI is a professional services company established in 1996 that has grown to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and other consulting services associated with operational readiness to FDA regulated and other mission-critical industries.
 
Are You Ready?
Our approach is simple; we put the client’s interests first, we do not stop until it is right, and we will do whatever it takes to get there.
As employees of CAI, we are committed to living our Foundational Principles, both professionally and personally:
We act with integrity.
We serve each other.
We serve society.
We work for our future.
 
With employee ownership, one person’s success is everyone’s success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a Can-Do Attitude (our core values). That is how we have grown exponentially.
 
Benefits
Our full-time positions offer competitive compensation and benefits which include up to 15% retirement contribution, PTO and sick days, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.
#LI-MV1
Average base salary range, not including benefits.
 
CAI Benefits:
•Comprehensive Health Insurance coverage
•24 days of Paid Time Off
•Company paid Life Insurance
•Company paid Long Term Disability
Preference will be given to candidates currently located in Boston, MA, Raleigh, NC, Indianapolis, IN, San Diego, CA, San Francisco, CA, Seattle, WA, and Portland, OR.
 
We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all – our employees, our customers, and the broader society.
 
This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.