Train AI on Clinical Reasoning.
The models shaping the future of AI are only as rigorous as the medical experts behind them. Apply your expertise where it matters, and get paid to do it.
As seen on
This is not busywork.
The most advanced language models still hallucinate drug dosages, confuse contraindications, and invent clinical guidelines. The clinicians who fix this today are building the tools they'll rely on tomorrow — one annotation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short clinical reasoning assessment. We evaluate your ability to identify diagnostic errors, apply evidence-based guidelines, and catch unsafe recommendations. No CV required — your clinical judgment speaks.
Get Matched
Based on your training and assessment results, you're matched to projects in your areas of expertise. Cardiology, oncology, emergency medicine, pharmacology, radiology — you choose what fits your background.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear clinical specifications and a defined scope. Payment is per-task, processed weekly, starting at $50/hour.
What you'll actually do.
Write a prompt
Craft precise clinical prompts designed to probe the boundaries of model reasoning — not trivia, but questions that expose flawed differential diagnoses, misapplied guidelines, and hallucinated
treatment protocols.
Review AI output
Evaluate model-generated clinical analysis line by line. Identify hallucinated drug interactions, misapplied diagnostic criteria, and logical gaps in pathophysiological reasoning.
Write the correct solution
Author a complete, evidence-based clinical analysis that demonstrates the correct reasoning. This becomes training signal for the next model generation.
Where models need you most.
These are the clinical domains where your expertise shapes AI into a safer, more useful tool for patient care, documentation, and research workflows.
Cardiology & Critical Care
Evaluate AI reasoning about acute coronary syndromes, heart failure management, arrhythmia classification, and hemodynamic monitoring. Verify claims about treatment algorithms, drug titration, and risk stratification.
Pharmacology & Drug Safety
Review model outputs on drug mechanisms, dosing protocols, contraindications, and interactions. Catch misidentified mechanisms of action, incorrect renal dosing adjustments, and overlooked black-box warnings — including errors in high-stakes dosing tools like gentamicin nomograms.
Diagnostic Reasoning & Imaging
Assess AI-generated differential diagnoses and lab value analyses. Verify sensitivity/specificity claims and catch inappropriate test ordering.
Emergency & Acute Medicine
Audit AI outputs used in clinical documentation and research workflows. Identify errors in clinic note summarisation, post-op dictation, and research assistance tools like citation retrieval and data summarisation for literature reviews.
Oncology & Pathology
Review model outputs on cancer staging, treatment protocols, biomarker interpretation, and pathology findings. Verify TNM classifications, treatment sequencing, and molecular marker significance.
Paid to contributors
Expert annotators
Annotations completed
Built for people who think in differentials.
Medical Students
MS3/MS4 and graduate medical students with strong clinical foundations and diagnostic reasoning skills.
Residents & Fellows
Physicians in training looking for flexible, intellectually engaging work outside hospital hours.
Attending Physicians
Board-certified physicians applying clinical expertise to AI training data on their own schedule.
Clinical Researchers
PhDs and MD-PhDs with deep domain knowledge in pathophysiology, pharmacology, or clinical trials.
Around the web
People love the work.
A few threads from contributors who’ve been at it for a while.
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r/DataAnnotationTech
u/NameGivenMe
Critical thinking and explication
I love Dataannotation! They are paying me to do both; to trainthese faculties and enjoy the process.
I'm getting paid more to make them shaper than ever andinform the course of possibly the most consequentialdevelopment in history: Artificial Intelligence!
r/DataAnnotationTech
u/Explorer182
Rubric work
Hate to say this, but rubrics are my favorite.
I know. When im doing them they make my brain go crazy, yet i miss them when not around.
r/DataAnnotationTech
u/C_Gull27
Working in math
The one where I get to work in the subject I enjoy and applied to the site for (math)
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Indeed
Data Annotator
Productive, Flexible, and Good Pay
“The pay is very competitive and more than enough for the work I produce.”
Indeed
AI Trainer
Schedule Flexibility and Good Pay
“I feel well compensated for my time.”
Indeed
AI Trainer
Fun and flexible
“I enjoy this work, it's fun and challenging.”
Accuracy is paramount.
r/DataAnnotationTech
u/OhLemons
Fact-checking and research
I really enjoy fact-checking.
Researching different topics is really fun, and it's easy to spend a full day working on these projects because the topics can vary so much.
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Glassdoor
Ai data annotator
Glassdoor
“The project assignments can be really interesting are often fun, and can usually be done any time of day or night.”
My experience has been nothing but positive so far.
Trustpilot
Victor Bizuett
Legit company
“Legit company, tasks are complex enough and most of the time they are quite fun to accomplish”
r/DataAnnotationTech
u/Traditional_Big2860
I love DA!
Last week I decided to take the coding assessment and got accepted within a day, now after 5 days of work I've surpassed 1k!
I still can't believe this. I'm really grateful.
r/DataAnnotationTech
u/textartguy
Belated Milestone Post
Been working since March 2024. I honestly feel so lucky to have both found this job and to have been able to keep it for so long.
I thought I might make a few grand max at the start.
Glassdoor
Remote AI Trainer
AI Trainer at Data Annotation
“Flexible working time and location”
r/DataAnnotationTech
u/LegendNumberM
Making models fail
I like the projects where I make prompts to make models fail.
I love seeing the subtle to downright hazardous ways these models fail to do as expected.
r/DataAnnotationTech
u/Dangerous_Darling
Learning through fact-checking
Same. Love fact-checking. And I learn so much!
r/DataAnnotationTech
u/Dangerous_Darling
100k club
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Woooooooooooo hit the 100k club last week, but I waited to post until my paid out also hit 100k!
Thanks DAT, I've been able to live an awesome life because of this job.
r/DataAnnotationTech
u/paranormalisnormal
$40k — I Love You Data Annotation <3
Data Annotation has saved my ass financially and allowed me to help out my loved ones.
Couldn't ask for a better job.
Glassdoor
AI Content Writer
Good for Part Time Gig
“Pay is good, fully flexible hours with no required minimum.”
Glassdoor
Ai data annotator
Great little source of income
“Lots of interesting projects to work on with a variety of subjects and specialised interests.”
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You'll work on tasks that help AI perform better, like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
Projects vary but commonly include reviewing AI-generated text, ranking responses, checking facts, labeling data, and reviewing content in specific subject areas. All focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact. Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is a flexible, task-based contractor role. You work remotely on your own schedule, focused on output quality rather than hours logged. There is no long-term commitment required, and you can work as much or as little as you choose.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.