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Telecommute Medical Data Annotation Jobs in Washington

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Implement extraction classification clustering annotation entity resolution * Improve dataset ... Medical, dental, and vision coverage * Flexible work hours | Learning culture | Mentoring ...

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 ...

vetegrity

Senior Data Scientist

Annapolis Junction, MD · On-site

$170K/yr

... annotation, model training/validation, and knowledge extraction from unstructured data ... We offer competitive compensation and benefits to include: - Medical/Dental/Vision - 20 Days of ...

Visa Inc.

Data Scientist

Washington, DC · On-site

$123.70 - $191.30/hr

Position reports to the Washington, DC office and may allow for partial telecommuting. Basic ... includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness ...

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Telecommute Medical Data Annotation information

What is telecommute medical data annotation?

Telecommute medical data annotation is the process of labeling and categorizing medical data—such as images, text, or audio—from a remote location, typically from home. This work helps train artificial intelligence and machine learning models used in healthcare, such as diagnostic tools or automated medical record systems. Annotators might identify features in radiology images, tag medical terms in documents, or classify audio recordings of doctor-patient interactions. The job requires strong attention to detail and a good understanding of medical terminology. Working remotely, annotators use specialized software provided by employers to complete their tasks securely.

What are the key skills and qualifications needed to thrive as a telecommute medical data annotation specialist?

To thrive as a Telecommute Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience in data labeling or healthcare-related fields. Familiarity with annotation platforms, EHR systems, and relevant compliance certifications like HIPAA are typically required. Strong organizational skills, self-motivation, and effective remote communication set individuals apart in this remote role. These competencies ensure precise, confidential, and efficient annotation of medical data, which is crucial for supporting AI development and maintaining data integrity.

What are some common challenges faced when working remotely as a medical data annotation specialist?

As a telecommute medical data annotation specialist, one common challenge is maintaining accuracy and consistency while labeling complex medical data, especially when interpreting clinical terminology or ambiguous imaging. Working remotely can also make it harder to quickly clarify doubts or seek feedback from colleagues or supervisors, so strong communication skills and proactive outreach are important. Additionally, staying updated with evolving annotation guidelines and managing distractions at home are key factors in ensuring high-quality work.

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

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

What are popular job titles related to Telecommute Medical Data Annotation jobs in Washington?

For Telecommute Medical Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Telecommute Medical Data Annotation jobs in Washington look for?

The top searched job categories for Telecommute Medical Data Annotation jobs in Washington are:

What cities in Washington are hiring for Telecommute Medical Data Annotation jobs?

Cities in Washington with the most Telecommute Medical Data Annotation job openings:

Telecommute Medical Data Annotation jobs near you

Project Perseus \u007C Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI)

Welo Data

Washington, DC

$34/hr

Full-time

Re-posted 23 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.