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Remote Medical Data Annotation Jobs in Washington, DC

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Participation in company benefit offerings include medical, dental, vision, unlimited paid leave ...

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

Data Architect (2 openings) - IRS Clearance 6-month contract-to-hire Remote, Greenbelt, MD Bachelor ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... Medical Insurance * Dental Insurance * Vision Insurance * Disability and Life Insurance * Parental ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

Location Fully remote within the USA, with travel once or twice a year for retreats and conferences ... medical, dental, and vision insurance (US) · 401(k) program (US), flexible PTO, professional ...

This position has an on-site requirement and is not eligible for fully remote candidates. At Level ... Our health and wellness benefits include medical, dental, and vision coverage, along with ...

This position has an on-site requirement and is not eligible for fully remote candidates. At Level ... Our health and wellness benefits include medical, dental, and vision coverage, along with ...

Showing results 41-60

Remote Medical Data Annotation information

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 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 Washington, DC? The most popular types of Medical Data Annotation jobs in Washington, DC are:
What are popular job titles related to Remote Medical Data Annotation jobs in Washington, DC? For Remote Medical Data Annotation jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Medical Data Annotation jobs in Washington, DC look for? The top searched job categories for Remote Medical Data Annotation jobs in Washington, DC are:
Infographic showing various Remote Medical Data Annotation job openings in Washington, DC as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist

Team Velocity

Herndon, VA • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI-driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production-ready AI solutions.
This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.
Key Responsibilities
  • Design, build, train, evaluate, and deploy machine learning models.
  • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.
  • Build feature engineering and model training pipelines.
  • Deploy and monitor production ML models, including model drift detection and retraining.
  • Collaborate with Product, Engineering, Analytics, and executive leadership.
  • Mentor junior data scientists and establish best practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field, Master's or PhD preferred
  • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact
  • Strong communication and business problem-solving skills

Technical Skills
  • Expert Python and SQL
  • Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
  • Snowflake, Matillion, dbt, Pandas, Spark, Airflow
  • Cloud: Google Cloud (preferred), AWS, or Azure
  • MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD
  • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks
  • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases

Preferred Experience
  • Large-scale customer data platforms
  • Marketing analytics and personalization
  • Automotive or SaaS industry experience
  • Real-time inference and streaming platforms

Success Metrics
  • Deliver production-ready ML models with measurable business impact
  • Improve prediction accuracy and operational efficiency
  • Implement model monitoring and retraining
  • Mentor team members and establish Data Science best practices
  • Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000-$190,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.
NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.
About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.