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Remote Medical Data Annotation Jobs in Arkansas (NOW HIRING)

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics. Role Summary and Responsibilities: The Data Steward will lead CareAbout Health's data stewardship ...

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APD Team Manager

Little Rock, AR · On-site +1

$101K - $210K/yr

Req ID: 382173 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $101,052 - $210,526. This range reflects the minimum ...

APD Team Manager

Little Rock, AR · On-site +1

$101K - $210K/yr

Req ID: 382173 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $101,052 - $210,526. This range reflects the minimum ...

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Remote Medical Data Annotation information

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

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

What is the difference between Remote Medical Data Annotation vs Remote Medical Transcription?

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.
What are the most commonly searched types of Medical Data Annotation jobs in Arkansas? The most popular types of Medical Data Annotation jobs in Arkansas are:
What are popular job titles related to Remote Medical Data Annotation jobs in Arkansas? For Remote Medical Data Annotation jobs in Arkansas, the most frequently searched job titles are:
What cities in Arkansas are hiring for Remote Medical Data Annotation jobs? Cities in Arkansas with the most Remote Medical Data Annotation job openings:
Infographic showing various Remote Medical Data Annotation job openings in Arkansas as of July 2026, with employment types broken down into 2% Locum Tenens, 39% Full Time, 22% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Certified Oncology Data Specialist (Remote)

Certified Oncology Data Specialist (Remote)

American Data Network

Little Rock, AR • Remote

Contractor

Posted 25 days ago


Job description

Why ADN? Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work.


Position Summary: American Data Network is seeking experienced certified Oncology Data Specialists (ODS) to support accurate and timely oncology data abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on oncology data abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy.


This is not a general data entry position. Candidates must have direct healthcare quality reporting, clinical chart review, or data abstraction experience specific to Oncology.


Position Details: ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week.


Key Responsibilities:

  • Reviews patient medical records and abstracts data for oncology registries.
  • Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently.
  • Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of the registry data.
  • Collaborates with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals.
  • Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems.
  • Maintains a high level of abstraction accuracy, completeness, and attention to detail.
  • Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines.
  • Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews.
  • Communicates professionally with account leads, team members, and client contacts when clarification is needed.
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.


Qualifications:

Required:

  • Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required.
  • Minimum 1 year of oncology registry experience required, with 2 or more years preferred.
  • Advanced understanding of oncology registry processes, coding, registry rules, and manuals, including SEER, AJCC, and other applicable standards.
  • Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines.
  • Strong attention to detail, organization, documentation, and follow-through.
  • Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned.
  • Excellent interpersonal and written communication skills.
  • Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors.


Preferred:

  • Experience using oncology registry applications, reports, and other related data collection resources.
  • Experience with IRR, QA review, audit validation, and/or abstraction accuracy review.


Screening & Onboarding:
Qualified candidates will complete an initial phone screen to evaluate qualifications and proof of certification.


ADN does not provide basic Oncology abstraction training, so candidates should already have the experience needed for the role. After hire, ADN provides onboarding to ADN processes, client systems, EHR access, documentation tendencies, and other client-specific workflows.


Why This Role May Be a Good Fit: This position may be a strong fit for experienced and certified Oncology Data Specialists (ODS) who enjoy independent work, flexible scheduling, chart reviews, healthcare quality reporting, and contributing to meaningful work that supports hospitals and patient care. ADN offers a knowledgeable and supportive team environment, multiple abstraction opportunities, and potential growth into lead or expanded quality roles for strong performers.