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Telecommute Medical Data Annotation Jobs in Indiana

Alignerr

Principal Clinical Scientist

Indianapolis, IN · Remote

... about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level ... Prior involvement in data annotation, data quality assurance, or evaluation systems * Experience ...

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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, and why are they important?

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.
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Telecommute Medical Data Annotation jobs near you

Medical Science Liaison (MSL)

Alignerr

Indianapolis, IN • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Medical Science Liaison (MSL) - AI Training
About the Role
We're looking for experienced Medical Science Liaisons and medical affairs professionals to help train and evaluate AI systems designed for life-science and clinical applications. Your scientific expertise will directly shape how AI understands, interprets, and communicates complex biomedical information - making a real impact on the future of healthcare AI.
This is a fully remote, flexible contract role ideal for MSLs, clinical educators, and scientific advisors who want to contribute their expertise beyond traditional field work.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Review and evaluate AI-generated clinical and biomedical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
    • Validate that complex clinical trial data, safety information, and medical evidence are accurately represented in AI outputs
    • Develop and assess scientific communication strategies grounded in real-world medical evidence and HCP engagement experience
    • Identify errors, gaps, or misleading content in AI-generated medical narratives and suggest evidence-based improvements
    • Provide structured feedback using standardized evaluation frameworks to continuously improve AI model quality
    • Work independently and asynchronously on your own schedule
    Who You Are
    • Background in medical affairs, clinical research, or scientific communications with direct HCP engagement experience
    • Strong ability to interpret clinical publications, trial data, and regulatory materials
    • Experience in a field-based or externally facing medical role - MSL, clinical educator, medical advisor, or similar
    • Comfortable evaluating scientific content for both technical accuracy and communicative effectiveness
    • Detail-oriented, self-motivated, and able to work independently
    Nice to Have
    • Prior experience with data annotation, content evaluation, or AI quality review
    • Familiarity with medical affairs workflows across therapeutic areas
    • Advanced degree in a life-science or clinical discipline (PharmD, PhD, MD, or equivalent)
    Why Join Us
    • Work on cutting-edge AI projects at the intersection of life sciences and artificial intelligence
    • Fully remote and flexible - work on your own schedule, as much or as little as suits you
    • Freelance perks: autonomy, variety, and collaboration with global experts
    • Contribute to meaningful work that helps AI get medicine right
    • Potential for ongoing work and contract extension

Apply