Clinical Data Annotator

About Eka Care

Eka Care is a health AI company on a mission to make world-class clinical intelligence available to every doctor, patient, and healthcare enterprise.

We build the models, data infrastructure, and clinical workflows that turn everyday care (a consultation, a prescription, a lab report) into structured, interoperable health data, so that better decisions can be made at the point of care and across the enterprise, whether that is a hospital, a diagnostic lab, or an insurer.

Our products, EkaScribe, EkaDoc, EkaAgents, EkaAPIs and EkaPHR, cover the full span of clinical, patient, and enterprise use cases, and plug into national digital health infrastructure such as India's Ayushman Bharat Digital Mission.

The Work

You will review, classify and annotate de-identified medical documents and images. Your labels become the ground truth that teaches AI models to read Indian medical records accurately.

• Classify documents into the correct type, and correct misclassified documents
• Extract and structure key fields, such as test names, values, units, reference ranges, drugs, doses, diagnoses and dates
• Label medical images: body region, modality, view and visible findings
• Flag documents that are poor quality, illegible, non-medical or contain identifying information
• Review and adjudicate other annotators' work (Track 3)

Roles

Track 1: Medical Document Annotator

For: Paramedical and allied health professionals, including lab technicians (DMLT/BMLT), nurses (GNM/BSc), pharmacists (DPharm/BPharm), and medical record technicians.

Focus: Lab reports, prescriptions, discharge summaries, insurance documents and invoices.

Track 1 Requirements

• Recognised diploma or degree in an allied health field
• 1+ year of clinical, lab, pharmacy or hospital records experience
• Comfortable reading handwritten Indian prescriptions and varied lab report formats
• Good English reading skills. Reading Hindi or a regional language is a plus.

Track 2: Imaging Annotator

For: Radiology and imaging technologists (DMRIT/BSc MRIT, radiography, sonography).

Focus: Scans (X-ray, CT, MRI, USG images), scan interpretation reports, and clinical body-part photographs.

Track 2 Requirements

• Recognised diploma or degree in medical imaging or radiography
• 1+ year of hands-on imaging department experience
• Able to identify modality, anatomy, view and gross findings
• Familiar with radiology report structure

Track 3: Medical Reviewer

For: Doctors who have completed MBBS.

Focus: Quality review of Track 1 and 2 output, adjudication of disagreements, edge cases, guideline refinement, and clinical interpretation tasks.

Track 3 Requirements

• MBBS (internship completed) with valid NMC/State Medical Council registration
• Strong attention to detail and comfort with structured review rubrics

Time Commitment and Pay

• 20 hours per week, worked flexibly around your schedule
• Fixed monthly pay
• Completing at least 20 hours per week is a condition of the contract. Pay is linked to meeting this commitment and the agreed quality standards.

What You Gain

• Exposure to clinical AI: hands-on experience in how medical AI is built, trained and evaluated, a fast-growing field in Indian healthcare
• Real-world data experience: work across diverse Indian medical records, report formats and imaging, and sharpen your clinical reading skills
• For doctors: a fellowship from Charaka for work on AI Evaluation
• Growth: a path to senior reviewer and guideline-author roles
• Flexibility: remote work that fits around your clinical duties

Confidentiality

All work involves de-identified health data. Selected candidates must sign an NDA and data-protection agreement and follow Eka's data handling policies.