About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Data Engineer
Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities
- Design and execute data collection studies with research and product teams to gather high-quality biosensor data.
- Monitor and maintain large datasets, implementing robust data validation and cleaning processes for sensor streams like IMU, EMG, and optical sensors.
- Debug and troubleshoot firmware and software issues to ensure reliable data acquisition from hardware sensors.
- Optimize distributed compute workflows for metric computation and analysis across large datasets.
- Build and maintain custom benchmarking tools and frameworks to evaluate and compare model performance on large datasets.
- Leverage data visualization to aid decision-making.
Qualifications Must-Have
- Bachelor's or Master's degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or related field.
- 2+ years of experience with data extraction, manipulation, and visualization using Python and SQL.
- Experience with hardware sensors and data collection infrastructure.
- Experience with signal processing for time domain signals and/or medical imaging systems.
- Experience managing large, high-dimensional datasets.
- Strong debugging skills for data acquisition and firmware/software interfaces.
- Experience with Javascript/Typescript for front-end UI development.
- Experience with scientific computing packages like NumPy, SciPy, Pandas.
- Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, ggplot2.
Compensation & Legal
- Hourly contractor, Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
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About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Data Engineer
Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities
- Design and execute data collection studies with research and product teams to gather high-quality biosensor data.
- Monitor and maintain large datasets, implementing robust data validation and cleaning processes for sensor streams like IMU, EMG, and optical sensors.
- Debug and troubleshoot firmware and software issues to ensure reliable data acquisition from hardware sensors.
- Optimize distributed compute workflows for metric computation and analysis across large datasets.
- Build and maintain custom benchmarking tools and frameworks to evaluate and compare model performance on large datasets.
- Leverage data visualization to aid decision-making.
Qualifications Must-Have
- Bachelor's or Master's degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or related field.
- 2+ years of experience with data extraction, manipulation, and visualization using Python and SQL.
- Experience with hardware sensors and data collection infrastructure.
- Experience with signal processing for time domain signals and/or medical imaging systems.
- Experience managing large, high-dimensional datasets.
- Strong debugging skills for data acquisition and firmware/software interfaces.
- Experience with Javascript/Typescript for front-end UI development.
- Experience with scientific computing packages like NumPy, SciPy, Pandas.
- Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, ggplot2.
Compensation & Legal
- Hourly contractor, Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,