EHR Annotation Specialist
$50
Data annotation is the most accessible entry point into AI training work. These roles involve labeling images, classifying text, transcribing audio, and marking object boundaries. No technical degree requiredβjust attention to detail and patience. A great way to earn $20-$40/hr while building your resume. Perfect for students, freelancers, and anyone looking for flexible side income.
Part of: Coding & Software Engineering
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Data annotation is the most accessible entry point into AI training workβno coding or specialized expertise required. Tasks include labeling images with bounding boxes, transcribing spoken audio to text, categorizing text into predefined classes, ranking AI responses by quality, and flagging inappropriate content. Work is repetitive and structured; speed and accuracy improve quickly with practice. Platforms provide detailed annotation guidelines, and your work is quality-checked against other annotators. This is excellent flexible income alongside other work. Hourly rates are lower than expert roles, but task volume is high and the work is always available.
No. Most entry-level data annotation roles require only attention to detail, not prior professional experience. Platforms provide detailed labeling guidelines. High school education is sufficient.
Minimal. Most platforms provide 15-30 minutes of onboarding and test tasks. Once you pass the qualification test (usually 10-15 examples), you can start earning immediately.
Lower barriers to entry = higher supply = lower rates. That said, specialized annotation (medical imaging, satellite data) can pay $30-40/hr. Text labeling typically pays $20-30/hr.
Yes. Data annotation is perfect for part-time work or combining with coding roles. Many people do 10-15 hrs/week annotation ($150-200/week) plus other AI training work.
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