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Remote Medical Data Annotation Jobs in Maine (NOW HIRING)

$101K - $137K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging ... remote. * We have you covered with our comprehensive benefits package, which includes medical ...

$101K - $137K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging ... remote. * We have you covered with our comprehensive benefits package, which includes medical ...

Technical Lead, Data Analytics

Portland, ME Β· On-site +1

$100K - $140K/yr

Remote Compensation: $100,000 - $140,000 / year Description Technical Lead | SQL | Snowflake ... Medical, disability, life insurance, and optional dental and vision coverage * 401(k) with company ...

Flexible remote work with optional access to our Portland, Maine office * Four-day work week after ... Medical, disability, life insurance, and optional dental and vision coverage * 401(k) with company ...

The role is remote and anyone eligible to work and travel within the U.S is encouraged to apply ... valuable data insights, and automating workflows. By integrating seamlessly with existing ...

The role is remote and anyone eligible to work and travel within the U.S is encouraged to apply ... valuable data insights, and automating workflows. By integrating seamlessly with existing ...

Review medical history, symptoms, and treatment concerns shared through Dutch's digital platform ... If you would like more information about how your data is processed, please contact us. apply for ...

Review medical history, symptoms, and treatment concerns shared through Dutch's digital platform ... If you would like more information about how your data is processed, please contact us. apply for ...

Review medical history, symptoms, and treatment concerns shared through Dutch's digital platform ... If you would like more information about how your data is processed, please contact us. apply for ...

You'll automate browser-based tasks, optimize workflows, manage data extraction and transformation ... remote. We have you covered with our comprehensive benefits package, which includes medical, dental ...

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Showing results 1-20

Remote Medical Data Annotation information

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical dataβ€”such as images, text, or audioβ€”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 key skills and qualifications needed to thrive as a remote medical data annotation specialist?

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 are the most commonly searched types of Medical Data Annotation jobs in Maine?

The most popular types of Medical Data Annotation jobs in Maine are:

What are popular job titles related to Remote Medical Data Annotation jobs in Maine?

For Remote Medical Data Annotation jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Remote Medical Data Annotation jobs in Maine look for?

The top searched job categories for Remote Medical Data Annotation jobs in Maine are:

Infographic showing various Remote Medical Data Annotation job openings in Maine as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Healthcare Data and Analytics Specialist - Remote - USA

Augusta, ME β€’ On-site, Remote

FullStack Labs
IT ServicesΒ β€’Β 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 hours ago


Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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