PhysioNet Competitor (Biomedical Signal Processing & ML)
$60 - $120 per hourTemporary
micro1
People with competition or research experience in biomedical signal processing build and solve difficult technical problems for AI training. You write self-contained problems about physiological signals, time series and machine learning, then code reference solutions in Python, MATLAB or similar. Candidates go through screening questions, a roughly 30 minute AI interview and a hiring manager review before starting.
What you would do
- Create self-contained problems on biomedical signals, time series and machine learning
- Write clear reference solutions in Python, MATLAB or another scientific environment
- Handle preprocessing, filtering, segmentation, feature extraction, classification or forecasting tasks
What the listing asks for
- Preferred: participation in a PhysioNet or Computing in Cardiology Challenge or similar competition
- Preferred: strong results with a substantive personal technical contribution
- Preferred: public evidence such as a paper, report or open-source repository
- Preferred: hands-on work with ECG, EEG, PPG, EMG or other clinical time series
- Ready to start the first task within 24 to 48 hours of onboarding
Suits professionals who have competed in biomedical signal challenges, code fluently in Python or MATLAB, and can start quickly with flexible hours.
Listed pay: $60 to $120 per hour. Where: Remote, worldwide. Time: About 15 hours a week, flexible schedule. Contract work for micro1, a company that hires experts for AI training projects.
Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.
Vacancy posted 5 days ago
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