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Telecommute Medical Data Annotation Jobs in Utah

micro1 AI

AI Trainer - Microbiology Expert

Provo, UT · Remote

$70 - $90/hr

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision) * TeleDoc ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$57K - $96K/yr

Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision) * TeleDoc ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

GDIT

Activity Security Representative (ASR) II

Ogden, UT · On-site

$73K - $98K/yr

Transfer electronic data files to internal customers * Maintain an extensive customer database ... Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Onsite Work Location: USA ...

AAPC

Faculty Manager

UT · On-site +1

... data to evaluate teaching quality and consistency • Monitoring trends in faculty performance ... Flexible telecommuting options * Competitive compensation based on experience * Comprehensive ...

GDIT

COMSEC Manager II

Ogden, UT

$110K - $149K/yr

Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Onsite Work Location: USA ... Our benefits package for all US-based employees includes a variety of medical plan options, some ...

GDIT

Security Control Assessor II

Ogden, UT · On-site

$129K - $175K/yr

Advise the Information System Owner (ISO), Information Data Owner (IDO), Program Security Officer ... Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Onsite Work Location: USA ...

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Telecommute Medical Data Annotation information

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 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 most commonly searched types of Medical Data Annotation jobs in Utah? The most popular types of Medical Data Annotation jobs in Utah are:
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Telecommute Medical Data Annotation jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Salt Lake City, UT • Remote

$70 - $90/hr

Part-time

Posted 11 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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