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I will do medical ai annotation and clinical text labeling as gmc doctor
GMC Registered Doctor with passion for Medical Writing
I am Dr. Osama Ashfaq Virk, a GMC-registered physician, freelance medical writer, and medical AI content specialist with an MBBS and 4+ years of emergency and internal medicine experience.
I help heal...
About this Gig
Stop training your medical AI with data labeled by people who Google clinical terms.
I am Dr. Osama GMC-registered physician, MBBS, 4+ years emergency and internal medicine. I annotate medical data with the clinical precision your AI model actually needs.
UNIQUE QUALIFICATIONS: GMC Full Registration UK | PLAB Certified | Active clinical practice | SME Careers medical expert screening passed | Current AI diagnostic platform annotator
ANNOTATION SERVICES:
- NER diseases, symptoms, drugs, procedures, anatomy
- RLHF rating and ranking of medical AI responses
- Clinical text classification and sentiment labeling
- Relation extraction drug-disease, symptom-diagnosis
- Clinical trial annotation PICO, adverse events
- AI response evaluation and red-teaming
- Dataset QA and error correction
WHY IT MATTERS: Generic annotators label text. I understand what it means clinically. That difference determines whether your medical AI helps or harms patients.
FORMATS: JSON | CSV | TSV | Excel | Label Studio | Doccano
NDA available. Message before ordering.
Technique:
Manual
Tagging type:
Text
•
Image
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Video
My Portfolio
FAQ
Why should I hire a doctor for medical annotation instead of a trained annotator?
I don't just label text — I understand it clinically. I catch dangerous omissions like missing vasopressor timing in sepsis that generic annotators miss entirely. Real clinical knowledge = safer AI.
What types of clinical text can you annotate?
Clinical notes, discharge summaries, lab reports, chatbot dialogues, drug information, research abstracts, AI responses, clinical trial records, and symptom checker data. Emergency and internal medicine coverage.
What is RLHF and do you provide it?
RLHF = rating AI responses so models learn what's better. I score medical AI outputs for accuracy, safety, completeness, and reasoning quality — with written clinical justification for every rating.
What annotation formats do you deliver in?
JSON, CSV, TSV, Excel, or Google Sheets — whichever your pipeline needs. I can also work directly inside Label Studio, Doccano, or your custom platform. Just specify before ordering.
Can you handle large datasets beyond 600 rows?
Yes. Message me before ordering for custom pricing on 1,000 to 10,000+ rows. I also offer ongoing retainer arrangements for companies with regular annotation needs.
Do you sign NDAs for sensitive medical data?
Yes. I sign full NDAs and confidentiality agreements before starting any project. Available as a $10 add-on extra. Please mention it when messaging before ordering.
How do you ensure annotation quality?
Three-stage QA: initial annotation, clinical accuracy self-review, final QA check. Standard includes consistency summary. Premium includes full IAA quality report. All grounded in NICE and WHO guidelines.
What is your medical AI experience?
Currently annotating clinical diagnostic data for an AI platform. Passed SME Careers medical expert screening. Evaluated AI clinical responses for accuracy and safety. 4+ years clinical practice backing every label.
What does doctor-led annotation mean in simple terms?
Think of it this way — would you trust a librarian to proofread a legal contract? Medical AI needs a doctor checking every label, not someone following instructions. I understand clinical context, not just terminology.
