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Remote Medical Data Annotation Jobs in Redmond, WA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Medical, Dental and Vision (family contributions as well) * PTO Program + Exchange Program ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

New

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... trial data, and providing expert medical judgment. No prior AI experience is required--your ...

New

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... trial data, and providing expert medical judgment. No prior AI experience is required--your ...

New

Director Business Operations and Data Insights

Seattle, WA · On-site +1

$220K - $283K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Anywhere in the US Hybrid if in San Jose CA or San Francisco, California Remote if no office is ... S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical ...

Data Center Business Development Manager

Seattle, WA · On-site +1

$135K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USA - REMOTE Travel: 50% minimum About Thomson Power Systems Embarking on an extraordinary journey ... Medical, Dental, Vision and Prescription Drug Coverage * Spending accounts (HSA, Health Care FSA ...

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 popular job titles related to Remote Medical Data Annotation jobs in Redmond, WA?

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

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

The top searched job categories for Remote Medical Data Annotation jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Remote Medical Data Annotation jobs?

Cities near Redmond, WA with the most Remote Medical Data Annotation job openings:

Infographic showing various Remote Medical Data Annotation job openings in Redmond, WA as of June 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

Seattle, WA • Remote

$70 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.