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Commission Medical Data Annotation Jobs in Illinois

Medical Science Liaison (MSL) - AI Training About the Role Your clinical knowledge is more valuable ... Prior experience with data annotation, content evaluation, or quality review systems * Familiarity ...

Prior experience with data annotation, data quality evaluation, or AI assessment workflows ... Collaborate with leading AI research teams pushing the boundaries of medical AI * Potential for ...

This role supports day-to-day administration of compensation plans, ensuring data integrity across ... We offer Medical, dental, and vision benefits in addition to: * Paid Time Off (PTO) * 401K Matching ...

This role supports day-to-day administration of compensation plans, ensuring data integrity across ... We offer Medical, dental, and vision benefits in addition to: * Paid Time Off (PTO) * 401K Matching ...

Principal Data Scientist

Chicago, IL · On-site

$122.40K - $228K/yr

For commission roles, the salary listed above represents BMO Financial Group's expected target for ... medical conditions), sexual orientation, gender identity, gender expression, transgender status ...

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ... This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity ...

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Commission Medical Data Annotation information

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

To thrive as a Commission Medical Data Annotation Specialist, you need a solid understanding of medical terminology, data annotation techniques, and attention to detail, often with a background in life sciences or healthcare. Familiarity with annotation platforms, data labeling tools, and compliance standards such as HIPAA is typically required. Strong analytical skills, meticulousness, and effective communication make someone stand out in this position. These skills are crucial for ensuring high-quality, accurate data that supports reliable AI and research outcomes in medical applications.

What are some common challenges faced in a Commission Medical Data Annotation role and how can they be addressed?

In a Commission Medical Data Annotation role, professionals often encounter challenges such as interpreting complex medical terminology, ensuring consistency in labeling, and maintaining high accuracy under tight deadlines. To address these, it is helpful to regularly reference standardized guidelines, participate in team reviews or audits, and seek clarification from medical experts when needed. Collaborating with peers and utilizing annotation tools efficiently can also help streamline the process and minimize errors, ensuring both quality and productivity.

What are commission medical data annotation jobs?

Commission medical data annotation jobs involve labeling and categorizing medical data—such as images, clinical notes, or audio recordings—for use in training machine learning models in healthcare. Workers are typically paid based on the amount of data they accurately annotate, rather than an hourly wage. Tasks may include identifying diseases in medical images, transcribing doctor notes, or classifying medical records. These jobs are critical for developing reliable artificial intelligence systems in medicine, supporting applications like diagnostics, treatment planning, and research. Attention to detail, understanding of medical terminology, and adherence to privacy standards are essential in these roles.

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

AspectCommission Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, tech-focusedRemote or office-based, tech-focused
Industry UsageUsed in AI training for healthcare applicationsUsed in AI training for healthcare applications
Search IntentComparison of roles in medical data annotationComparison of roles in medical data annotation

Both roles involve labeling medical data to train AI systems, often requiring similar skills and work environments. The main difference lies in the scope: Commission Medical Data Annotation may involve more specialized tasks or higher-level responsibilities, whereas Medical Data Labeler typically refers to the basic task of data labeling. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

What are the most commonly searched types of Medical Data Annotation jobs in Illinois? The most popular types of Medical Data Annotation jobs in Illinois are:
What are popular job titles related to Commission Medical Data Annotation jobs in Illinois? For Commission Medical Data Annotation jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Commission Medical Data Annotation jobs in Illinois look for? The top searched job categories for Commission Medical Data Annotation jobs in Illinois are:
What cities in Illinois are hiring for Commission Medical Data Annotation jobs? Cities in Illinois with the most Commission Medical Data Annotation job openings:

Medical Science Liaison (MSL)

Alignerr

Chicago, IL • Remote

Full-time

Posted 15 days ago


Job description

Medical Science Liaison (MSL) - AI Training
About the Role
Your clinical knowledge is more valuable than ever - not just in the field, but in shaping how AI understands medicine. We're looking for experienced Medical Science Liaisons and medical affairs professionals to help evaluate, validate, and improve AI systems being trained on biomedical and clinical content.
This is a unique opportunity to apply your scientific expertise in a new frontier: ensuring that AI gets the medicine right.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
  • What You'll Do
    • Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
    • Interpret clinical trial data, research publications, and regulatory materials to assess whether AI outputs reflect current evidence and standards
    • Identify scientific errors, misleading claims, or gaps in medical reasoning within AI responses
    • Validate scientific narratives and ensure AI-generated content meets the standards expected in medical affairs and HCP communications
    • Provide structured, expert feedback to improve AI model quality across biomedical datasets
    • Apply your field-based MSL experience to assess how well AI communicates complex science to clinical audiences
    Who You Are
    • Background in medical affairs, clinical research, or scientific communications with hands-on experience engaging healthcare professionals
    • Strong ability to critically interpret clinical data, journal publications, and regulatory documents
    • Experience in a field-facing medical role - MSL, clinical educator, scientific advisor, or similar
    • Clear, precise written communication skills when translating complex science for diverse audiences
    • Self-motivated and comfortable working independently on asynchronous, task-based assignments
    Nice to Have
    • Prior experience with data annotation, content evaluation, or quality review systems
    • Familiarity with AI tools or AI-generated content workflows
    • Advanced degree (MD, PharmD, PhD) in a biomedical or life science discipline
    • Therapeutic area expertise in oncology, rare disease, immunology, or other specialty fields
    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, on your own terms
    • Freelance perks: autonomy, variety, and collaboration with a global expert community
    • Contribute meaningful scientific oversight to AI systems that will impact how medicine is communicated worldwide
    • Potential for ongoing work and contract extension as projects grow