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Freelance Medical Data Annotation Jobs in Reston, VA

Axle

Data Scientist II

Rockville, MD

Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

YO AI Labs

Medical Coder - Remote

Washington, DC · Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Department of Health and Human Services (DHHS) agencies to develop data science solutions to ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD

Department of Health and Human Services (DHHS) agencies to develop data science solutions to ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

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All JobsMedical Data Annotation JobsFreelance Medical Data Annotation JobsFreelance Medical Data Annotation Jobs in Reston, VA

Freelance Medical Data Annotation information

See Reston, VA salary details

$12

$18

$23

How much do freelance medical data annotation jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance medical data annotation in Reston, VA is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $20.00 per hour, depending on experience, location, and employer.

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.

What are the key skills and qualifications needed to thrive as a freelance medical data annotator?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

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

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

What are popular job titles related to Freelance Medical Data Annotation jobs in Reston, VA?

For Freelance Medical Data Annotation jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Freelance Medical Data Annotation jobs in Reston, VA look for?

The top searched job categories for Freelance Medical Data Annotation jobs in Reston, VA are:

What cities near Reston, VA are hiring for Freelance Medical Data Annotation jobs?

Cities near Reston, VA with the most Freelance Medical Data Annotation job openings:

Freelance Medical Data Annotation jobs near you

AI/ML Test Engineer

Modern Technology Solutions, Inc.

Springfield, VA • On-site

$150K - $190K/yr

Full-time

Re-posted 14 days ago

Job description

Modern Technology Solutions, Inc. (MTSI) is hiring an AI/ML Test Engineer in Springfield, VA. Qualified candidates must be U.S

citizens with an active TS/SCI clearance and be eligible to obtain a CI Poly. Responsibilities: Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing. Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.

Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment. Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements. Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.

Conduct integration testing of AI/ML models within operationally representative environments and workflows. Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements. Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.

Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability. Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution. Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision-making.

Qualifications Required: 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows. Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts. Ability to support multiple evaluation activities across dynamic operational environments.

Experience troubleshooting technical workflow or data-related issues in support of operational objectives. Strong analytical, organizational, and communication skills. Education Requirements: Bachelor's degree in IT or STEM related field, or additional relevant experience in lieu of a degree.

Desired Qualifications: Experience supporting DoD or Intelligence Community programs. Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments. Experience working in Agile, DevSecOps, or cloud-based operational environments.

Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools. Experience supporting scalable AI/ML evaluation or mission-focused T&E activities. Clearance Requirements: Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.

The pay range for this position is $150,000 to $190,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location.

Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled. #LI-RC2.

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