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Medical Data Annotation Jobs in Indiana (NOW HIRING)

... 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 ...

Medical Data Annotation information

See Indiana salary details

$9

$20

$48

How much do medical data annotation jobs pay per hour?

As of May 30, 2026, the average hourly pay for medical data annotation in Indiana is $20.92, according to ZipRecruiter salary data. Most workers in this role earn between $13.97 and $21.41 per hour, depending on experience, location, and employer.

What is a Medical Data Annotation job?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

What are the key skills and qualifications needed to thrive in the Medical Data Annotation position, and why are they important?

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in Medical Data Annotation roles?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.
What are the most commonly searched types of Medical Data Annotation jobs in Indiana? The most popular types of Medical Data Annotation jobs in Indiana are:
What are popular job titles related to Medical Data Annotation jobs in Indiana? For Medical Data Annotation jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Medical Data Annotation jobs? Cities in Indiana with the most Medical Data Annotation job openings:

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