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Scale Ai Data Labeling Jobs (Flexible Options) in West Virginia

Coalition, Inc.

WV

$200K/yr

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 ...

Dscout

AI Data Engineer

Charleston, WV · On-site

$106K - $127K/yr

AI is a core part of how Dscout operates. Feature quality relies heavily on the data pipelines and ... scale, and you know what breaks, when, and why * Strong Python skills and fluency across the data ...

Scale AI

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading ...

Scale AI

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading ...

Zayo

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

Zayo's communications infrastructure solutions include dark fiber, private data networks ... Lead the research and implementation of large-scale AI models (e.g., LLMs, Vision Transformers) and ...

Welocalize

... Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: * Annotate or label text, images, or ...

Welocalize

... Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: * Annotate or label text, images, or ...

Experian

$59 - $76/hr

We are a small, high-use group that shapes technology strategy across analytics products, AI/ML enablement, and data infrastructure at enterprise scale. This is a role for someone with deep ...

PADO AI

Executive Assistant

Morgantown, WV · On-site

... for AI data centers. We are on a mission to maximize "Compute Per Megawatt" by bridging the gap ... Join a nimble, venture-backed startup that has the global scale and hardware engineering might of ...

Ehvert

... large-scale data center projects across the U.S. In this role, you will be responsible for ... Perform on high-profile, hyperscale, and AI data center projects in a rapidly expanding industry

Ehvert

... large-scale data center projects across the U.S. In this role, you will be responsible for ... Perform on high-profile, hyperscale, and AI data center projects in a rapidly expanding industry

Anthropic

Data Center Architect, CSA

Friendly, WV · On-site +1

$54.50 - $70.25/hr

... AI systems. As our compute infrastructure scales to support frontier model training and deployment ... As Anthropic scales its data center program across multiple sites in the United States and ...

Coalition, Inc.

Data Engineer, Security

WV · On-site +1

$163K/yr

You will build and scale our Medallion Architecture on Snowflake, utilizing dbt to ensure our data is clean, modeled, and ready for both business intelligence in Looker and advanced AI/ML ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

S. Coast Guard (USCG) Data & AI Integration Team. This role is primarily responsible for ... Proven experience building and maintaining large-scale data pipelines, API frameworks, or cloud ...

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Senior Manager, Machine Learning (Data Operations)

Coalition, Inc.

WV

$200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 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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