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From Home Image Annotation Jobs in West Virginia

Coalition, Inc.

WV

$200K/yr

Define annotation guidelines, taxonomies, and edge-case protocols for each labeling program ... The US base salary for this position ranges from $134,400/year in our lowest geographic market up ...

Function Health

$298/day

Protocol Optimization & Image Quality: Review and refine MRI protocols across multiple vendors ... Comfortable with a hybrid schedule of working from home with ~30-40% travel Why This Role Stands ...

Function Health

$298/day

Protocol Optimization & Image Quality: Review and refine MRI protocols across multiple vendors ... Comfortable with a hybrid schedule of working from home with ~30-40% travel Why This Role Stands ...

Boyd CAT

Field Technician Rental

Nitro, WV · On-site

$45.65/hr

Is assigned a company service truck and may be dispatched from home or company shop. Compensation ... Projects a positive company image by interacting with fellow employees, customers, and management ...

Boyd CAT

Field Technician Earthmoving

Nitro, WV · On-site

$45.65/hr

Is assigned a company service truck and may be dispatched from home or company shop. Compensation ... Projects a positive company image by interacting with fellow employees, customers, and management ...

Boyd CAT

Field Technician Power & Energy

Nitro, WV · On-site

$45.65/hr

Will be assigned a company service truck and may be dispatched from home or company shop as ... Project a positive Company image by interacting with fellow employees, customers and management in ...

ibex

Bilingual Customer Service Representative

Charleston, WV · On-site

$12 - $15.25/hr

The CSR must project a professional company image and provide superior customer service while ... Attend additional training as requested/deemed necessary Must Haves for Work at Home: * Private ...

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How much do from home image annotation jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for from home image annotation in West Virginia is $21.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $25.26 per hour, depending on experience, location, and employer.

What is a from home image annotation?

A From Home Image Annotation job involves labeling or tagging images with relevant information to train artificial intelligence (AI) and machine learning models. Annotators work remotely, using specialized tools to draw boxes, classify objects, or add descriptions to images. These tasks help improve AI systems for applications like self-driving cars, medical imaging, and facial recognition. No advanced technical skills are usually required, but attention to detail and accuracy are essential.

What are the typical daily responsibilities for a from home image annotation?

As a From Home Image Annotation professional, your day-to-day tasks involve reviewing digital images and tagging, labeling, or segmenting specific objects or features according to project guidelines. You'll often use specialized online annotation tools and may need to complete assigned image batches within set timelines. Communication with team leads or quality reviewers occurs through chat or project management systems, especially when clarifications are needed. Maintaining accuracy and consistency across annotations is critical, as this data is often used to train artificial intelligence systems. Depending on the project, you might also participate in brief virtual training sessions or feedback meetings.

What are the key skills and qualifications needed to thrive in the from home image annotation position, and why are they important?

To thrive as a From Home Image Annotation specialist, you need keen attention to detail, basic computer proficiency, and knowledge of image labeling processes. Familiarity with image annotation tools such as Labelbox, VGG Image Annotator, or proprietary client platforms is often expected, while formal certifications are rarely required. Strong time management, self-motivation, and the ability to follow detailed instructions are standout soft skills for this role. These skills ensure that annotations are accurate, consistent, and completed efficiently to meet project deadlines and quality standards.

What are the most commonly searched types of Image Annotation jobs in West Virginia?

The most popular types of Image Annotation jobs in West Virginia are:

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From Home Image Annotation jobs near you

Senior Manager, Machine Learning (Data Operations)

Coalition, Inc.

WV

$200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 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

Apply