Biomedical Signal Processing ML Problem Designer

OpenTrain AI, Inc.; United States; Remote; USD 47,000 - 94,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a part-time contributor to create self-contained problems from real physiological signals and develop reference solutions using Python or MATLAB.

You will design tasks around preprocessing, filtering, segmentation, feature extraction, and forecasting, ensuring methods are validated and reproducible. Applicants should be fluent in English with hands-on experience in ECG/EEG/PPG/EMG and other clinical time-series data, using scientific computing tools.

Qualifications

• Entry-level listing with specialized technical requirements.
• Fluent English required.
• Hands-on experience with clinical time-series data (ECG/EEG/PPG/EMG).

Responsibilities

• Create self-contained problems based on real physiological signals.
• Develop reference solutions in Python, MATLAB, or similar.
• Design tasks involving preprocessing, filtering, segmentation, feature extraction, representation learning, classification, or forecasting.
• Validate methods and ensure reproducibility.
• Submit work meeting project specifications.

Skills

Python

MATLAB

Signal processing

Tools

ECG signals

EEG signals

PPG signals

EMG signals

Job description

OpenTrain AI, Inc. is seeking a part-time contributor to create self-contained problems from real physiological signals and develop reference solutions using Python or MATLAB.

You will design tasks around preprocessing, filtering, segmentation, feature extraction, and forecasting, ensuring methods are validated and reproducible. Applicants should be fluent in English with hands-on experience in ECG/EEG/PPG/EMG and other clinical time-series data, using scientific computing tools.