1

Flexible Medical Data Annotation Jobs in Indiana

Showing results 41-60

Flexible Medical Data Annotation information

What is the difference between Flexible Medical Data Annotation vs Medical Data Labeler?

AspectFlexible Medical Data AnnotationMedical Data Labeler
CredentialsBasic understanding of medical terminology, training in annotation toolsSimilar, often requires familiarity with medical terminology
Work EnvironmentRemote or on-site, healthcare or tech companiesPrimarily remote, healthcare tech companies
Industry UsageUsed in AI training for medical imaging, EHR systemsUsed for training AI models in healthcare
Search & ComparisonFocuses on flexible annotation tasks, broader scopeMore specific, labeling data for medical AI

Flexible Medical Data Annotation involves a broader range of annotation tasks, often requiring adaptability and understanding of various medical data types. Medical Data Labeler typically focuses on labeling specific datasets for AI training. Both roles require medical terminology knowledge but differ in scope and flexibility.

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 Flexible Medical Data Annotation jobs in Indiana?

For Flexible Medical Data Annotation jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Flexible Medical Data Annotation jobs?

Cities in Indiana with the most Flexible Medical Data Annotation job openings:

Infographic showing various Flexible Medical Data Annotation job openings in Indiana as of August 2026, with employment types broken down into 63% Full Time, 11% Part Time, and 26% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Logansport, IN โ€ข Remote

Full-time

Posted 15 days ago


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.