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Data Labeler Remote Jobs in Ohio (NOW HIRING)

Fuze Health

Verification Pharmacist - FuzeRx

Sharonville, OH · On-site +1

$53.50 - $64.25/hr

Operating in a remote capacity, the Verification Pharmacist supports remote verification functions ... Experience reviewing medication orders, prescription data, or pharmacy workflows with strong ...

McKay Brothers

Field Technician

Middleburg Heights, OH · On-site +1

$90K - $115K/yr

McKay Brothers and Quincy Data are looking for an experienced Field Technician. We are a profitable ... Remote equipment includes, but is not limited, to the following; Low Latency microwave equipment ...

MMB Solutions LLC

Systems Engineer

Dayton, OH · On-site +1

This position will support development of a data architecture and machine learning experimentation ... This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S.

micro1 AI

First-Person AI Video Trainer

Cincinnati, OH · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Cleveland, OH · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Columbus, OH · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

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Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are the most commonly searched types of Data Labeler jobs in Ohio? The most popular types of Data Labeler jobs in Ohio are:
What are popular job titles related to Data Labeler Remote jobs in Ohio? For Data Labeler Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Ohio look for? The top searched job categories for Data Labeler Remote jobs in Ohio are:
What cities in Ohio are hiring for Data Labeler Remote jobs? Cities in Ohio with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director Account Management

Director Account Management

Pharmacy Data Management, Inc.

Poland, OH • Remote

Full-time

Re-posted 4 days ago

Job description

PDMI is looking to add a Director, Account Management to our team! This positionwill be responsible for leading the transformation and maturation of PDMI's Account Management function, evolvingitinto a proactive, strategic, insight-driven client partnershipmodel.Byredefiningrole expectations, engagement standards, operating processes, and accountability frameworks for the Account Management team, this role will drive client retention, satisfaction, and growth to support scalable growth and improved client outcomes.

Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their businessobjectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated healthplansand hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.

Why Join Us:

  • Best Employer:PDMI was votedBestEmployer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work:Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment:Work with passionate professionals who share your drive.
  • Exciting Challenges:Every day brings new opportunities to excel.
  • Flexible Work:Fully remote opportunity with a company thatcares.

Key Responsibilities:

  • Develop and implement a scalable Account Management operating model, including role structure, account segmentation, career tiering,governance processes, and measurable performance expectations.
  • Ensure Account Managers develop a deep understanding of client businessneeds, operational priorities, growthobjectives, and market challengestoposition PDMI as a strategic business partner.
  • Drive the evolution of client engagement from transactional reporting and raw data delivery toward insight-driven consultative partnership thatdemonstratesmeasurable business value and strategic impact.
  • Ensure Account Managers understand and effectively coordinate PDMI's operational, technical, product, implementation, support, and service functions to deliveraunifiedand consistent client experience.
  • Establish a culture of ownership, accountability, strategic thinking, and proactive client leadership by implementing clear expectations, measurable standards, coaching frameworks, and consistent performance management practices.
  • Drive executive-level client engagement strategies that strengthen long-term partnerships and align PDMI solutions to evolving client businessobjectives.
  • Establish and standardize processes for managing client relationships, including contracts,quarterly business reviews,renewals, service agreements, and overall account governance to ensure consistency and reduce churn.
  • Partner with the Director of Enterprise Client Engagement to ensure Account Managers have necessary supportforescalatedor recurring client issues, ensuringtimelyresolution and alignment across internal teams.
  • Advocate for clients internally and collaborate cross-functionallywithProduct, ITandOperations to improve delivery, enhance client experience, and align on priorities.
  • Leverage data and insights tomonitoraccount health, anticipate risks, inform decision-making, and provide regular reporting to leadership on performance and opportunities.
  • Ensure alignment across internal teams by communicating clientobjectives, priorities, and opportunities to support growth and improve overall client outcomes.
  • Maintain strong knowledge of PDMI products, services, and enhancements to effectively support clients and guide the team.

Work & Education Experience Requirements:

  • Bachelor's degree in business, communications, healthcare administration, ora relatedfieldrequired.
  • Advanceddegree(e.g., MBA, MHA, or similar) preferred.
  • 8+years in account management or customer success (healthcare IT or technical environment preferred).
  • 5+ years leading and developing client-facing teams required.
  • Experience driving retention, growth, and managing client lifecycle processes required.

AIUsage& Candidate Authenticity:

AI tools may be used for resume formatting or drafting application materials; however,submittingcontent that misrepresents yourexperience, includingcopied job descriptions or unverifiable workhistory, isnot acceptable. Candidates must be prepared to clearly and confidently speak to allexperiencelisted. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitlypermitted, will result in disqualification.

All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.

Employment Type: FULL_TIME

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