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Remote Medical Data Annotation Jobs in Towson, MD

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Under Armour, Inc.

Sr. Data Steward

Baltimore, MD · On-site +1

$75K - $100K/yr

... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ... medical conditions), national origin, age, physical and mental disability, marital status, sexual ...

Aggreko

Sales Representative, Data Centers

Baltimore, MD · Remote

$75K - $85K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... Low-cost medical plan option available * Paid training programs and tuition reimbursement * Sales ...

Sbdinc

Senior Manager, Data Engineering

Towson, MD · Remote

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your ... Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and ...

micro1 AI

Medical Billing Specialist

Baltimore, MD · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

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Remote Medical Data Annotation information

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 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 popular job titles related to Remote Medical Data Annotation jobs in Towson, MD?

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

What job categories do people searching Remote Medical Data Annotation jobs in Towson, MD look for?

The top searched job categories for Remote Medical Data Annotation jobs in Towson, MD are:

What cities near Towson, MD are hiring for Remote Medical Data Annotation jobs?

Cities near Towson, MD with the most Remote Medical Data Annotation job openings:

Remote Medical Data Annotation jobs near you
Infographic showing various Remote Medical Data Annotation job openings in Towson, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Sr. Data Platform Engineer

Linthicum Heights, MD • Remote

Real Time Medical Systems
IT Services • 11 - 50 employees
Learn more about Real Time Medical Systemsexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Job description

Sr. Data Platform Engineer

This is a fully remote role.

Job purpose summary
Real Time’s suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability.
Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures.
The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables.
Duties and responsibilities

  • Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
  • Lead and support SQL Server → PostgreSQL migration efforts, including schema translation, performance tuning, and data validation
  • Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.)
  • Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements
  • Develop frameworks for data quality, monitoring, and reconciliation
  • Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions
  • Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
  • Contribute to standards, best practices, and technical mentorship across the team
  • Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations

Additional Duties and Responsibilities
  • Maintain regular and punctual attendance.
  • Any other assigned tasks
  • Comply with all company policies and procedures.
Qualifications
  • 5+ years of professional experience in data engineering or software engineering roles
  • Advanced skills with Python and PySpark for large-scale data processing
  • Strong SQL development experience, including query tuning and ETL/ELT design
  • Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC)
  • Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation
  • Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
  • Working knowledge of C# for application/data integrations
  • Strong grasp of data modeling, architecture, and governance best practices
  • Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities
  • Bachelor’s degree required
  • Excellent verbal, written and presentation skills.
  • Ability to thrive in a fast paced, deadline driven environment.
  • AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus
  • Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus
  • Experience working in the healthcare industry a plus
  • You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together!

Additional Qualifications
  • Independent contributor who can also collaborate effectively in a remote environment
  • Strong communication skills, both technical and business-oriented
  • Comfortable balancing multiple priorities without losing quality
  • Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues
  • Positive, solution-oriented mindset - able to tackle tasks with optimism

Working conditions
Position requires minimal amount of travel.
Remote/Work from anywhere work environment within the United States.
Physical requirements
Remaining in a stationary position, often sitting for prolonged periods.
Direct reports
None

Why you'll love it here:

  • You’ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
  • Competitive base salary
  • Work from home
  • Ongoing training and coaching for career development
  • Comprehensive medical, dental and vision coverage with significant company contribution
  • Disability insurance
  • 401(k) retirement savings program

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