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Remote Medical Data Annotation Jobs in Illinois (NOW HIRING)

Remote * Commitment : 10-40 hours/week What You'll Do * Design, oversee, and optimize data ... Prior experience with data annotation, data quality evaluation, or AI training workflows

Remote * Commitment : 10-40 hours/week What You'll Do * Design advanced physics problems - Craft ... No prior AI or data annotation experience required Nice to Have * Experience with scientific ...

Biology Masters

Chicago, IL · Remote

$35 - $55/hr

Biology Masters - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the ... Prior experience with data annotation, data quality, or evaluation systems Why Join Us: * Excellent ...

Prior experience with data annotation, data quality, or evaluation systems Why Join Us: * Competitive pay and flexible remote work. * Lead and influence projects at the intersection of healthcare and ...

Experience with data annotation, quality evaluation, or academic tutoring * Familiarity with AI or ... Fully remote and flexible - work when and where it suits you * Freelance perks: high autonomy ...

Prior experience with data annotation, data quality evaluation, or AI assessment workflows ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us * Work on cutting-edge AI projects with top research labs * Fully remote and flexible - work on your own ...

Remote * Commitment : 10-40 hours/week What You'll Do * Evaluate AI-generated outputs related to ... Prior experience with data annotation, data quality review, or evaluation systems * Familiarity ...

... data annotation, or model training workflows Why Join Us * Work on cutting-edge AI projects with top research labs shaping the future of machine intelligence * Fully remote and flexible - work when ...

Background in data annotation, quality evaluation, or clinical decision support * Familiarity with ... Fully remote and flexible - set your own hours and workload * Apply your clinical expertise in a ...

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Remote Medical Data Annotation information

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

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.

What is the difference between Remote Medical Data Annotation vs Remote Medical Transcription?

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

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 cities in Illinois are hiring for Remote Medical Data Annotation jobs? Cities in Illinois with the most Remote Medical Data Annotation job openings:

Precision Medicine Data Lead

Alignerr

Chicago, IL • Remote

Other

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


Job description

Precision Medicine Data Lead (AI Training)
About the Role
What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help train AI systems that are pushing the boundaries of what's possible in clinical research and treatment.
This is a fully remote, flexible contract role built for experienced professionals in genomics, life sciences, or healthcare data - people who understand how to make complex data meaningful.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
  • Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
  • Evaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundness
  • Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
  • Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
  • Apply domain expertise to improve how AI models handle, interpret, and reason over life sciences data
Who You Are
  • Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
  • Strong background in data integration, data governance, and translating complex datasets into meaningful clinical or scientific insights
  • Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
  • Detail-oriented and rigorous - you hold data to a high standard and know when something doesn't add up
  • Self-motivated and reliable when working independently in an asynchronous environment
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Background in bioinformatics, computational biology, or clinical informatics
  • Familiarity with regulatory frameworks governing healthcare data (HIPAA, GDPR, etc.)
  • Experience translating genomic research findings for non-specialist audiences
Why Join Us
  • Work on cutting-edge AI projects alongside world-leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact work
  • Contribute directly to how AI understands and advances precision medicine
  • Gain exposure to advanced large language models and how they're trained on complex scientific domains
  • Potential for ongoing work and contract extension as new projects launch