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Remote Medical Data Annotation Jobs in Wisconsin

micro1 AI

AI Trainer - Microbiology Expert

Kenosha, WI · Remote

$70 - $90/hr

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.

micro1 AI

AI Trainer - Microbiology Expert

Madison, WI · Remote

$70 - $90/hr

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.

NV5

Remote Sensing Technician

Sheboygan Falls, WI · On-site +1

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... NV5 offers competitive compensation and benefits package including medical, dental, life insurance ...

NV5

Remote Sensing Technician

Sheboygan Falls, WI · Remote

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... NV5 offers competitive compensation and benefits package including medical, dental, life insurance ...

Corvel

Care Advocate Nurse

Madison, WI · Remote

$61K - $98K/yr

... medical data in CareMC, validates and secures medical information, assesses and evaluates ... This is a remote role. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Initiates and receives telephonic ...

WPS

Medical Director

Madison, WI · On-site +1

As a secondary consideration, we do offer remote work in the following approved states: Colorado ... Analyze data to determine if there is an aberrancy with a particular service or provider and ...

WPS Health Solutions

Medical Director

Madison, WI · On-site +1

As a secondary consideration, we do offer remote work in the following approved states: Colorado ... Analyze data to determine if there is an aberrancy with a particular service or provider and ...

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All JobsMedical Data Annotation JobsRemote Medical Data Annotation JobsRemote Medical Data Annotation Jobs in Wisconsin

Remote Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Medical Data Annotation Specialist, and why are they important?

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 Wisconsin? The most popular types of Medical Data Annotation jobs in Wisconsin are:
What are popular job titles related to Remote Medical Data Annotation jobs in Wisconsin? For Remote Medical Data Annotation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Medical Data Annotation jobs in Wisconsin look for? The top searched job categories for Remote Medical Data Annotation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Medical Data Annotation jobs? Cities in Wisconsin 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 Wisconsin as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 26% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Kenosha, WI • Remote

$70 - $90/hr

Part-time

Posted 5 days ago

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.

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