Remote Biomedical ML Signal Processing Specialist Part-Time

OpenTrain AI; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI is seeking biomedical signal processing specialists to create and judge AI-training tasks from real physiological signals. Work is remote, part-time, and paid per accepted task at $60-$120 per hour equivalent, with about 15 hours weekly and you choose when to work.

You’ll design challenging tasks using ECG, EEG and other time-series data, prepare reference answers in Python or MATLAB, and ensure results are reproducible to project specifications. This is independent contractor work.

Qualifications

• Experience with physiologic time-series data such as ECG/EEG, PPG, EMG, and polysomnography.
• Proficiency in Python or MATLAB or another scientific computing language.
• Fluent English and ability to publicly share technical contributions (papers, code, repos).
• Experience participating in PhysioNet/CinC Challenge or comparable competition is a plus.

Responsibilities

• Create difficult tasks using real physiological signals and time-series data.
• Design tasks involving preprocessing and filtering of biomedical signals.
• Prepare reproducible reference answers using Python, MATLAB or another scientific computing environment.
• Check your methods, ensure replicability, and deliver against project specifications.

Skills

Python

MATLAB

Biomedical signals

English fluency

Job description

OpenTrain AI is seeking biomedical signal processing specialists to create and judge AI-training tasks from real physiological signals. Work is remote, part-time, and paid per accepted task at $60-$120 per hour equivalent, with about 15 hours weekly and you choose when to work.

You’ll design challenging tasks using ECG, EEG and other time-series data, prepare reference answers in Python or MATLAB, and ensure results are reproducible to project specifications. This is independent contractor work.