Data Collections & Hardware Specialist (1099; MD in-office)

We are looking for an experienced Data Collections & Hardware Specialist to work directly with a client's onsite team for Wi-Fi-based motion sensing: detecting and classifying motion using Channel State Information (CSI) captured from the wireless environment, and integrating that intelligence into embedded applications that run efficiently across many hardware platforms.

You will be the person who keeps collection running and the hardware healthy, freeing our engineers and researchers to focus on models and product.

The ideal candidate will have strong client-facing communications skills and hands-on technical experience in related hardware, data collections and Wi-Fi sensing technologies.

Basic Terms:

• Role: Data Collections & Hardware Specialist
• Type: Independent Contractor (1099 ONLY)
• Pay rate: $45 to $55 USD per hour
• Duration: 12-months; renewal on an annual basis thereafter
• Capacity: 40 hours per week, Monday to Friday, during standard business hours
• Location: Rockville, MD office
• Start date: July 1, 2026

RESPONSIBILITIES:

[Hardware]

• Configure, provision, and maintain device deployments across our 150 IoT sensing fleet — including connecting devices to routers and onboarding them in their respective apps (currently a major time sink for the team).
• Manage and troubleshoot collection sets; diagnose and resolve issues quickly, including general IT tasks such as logging into router back-ends, IP configuration, and basic network troubleshooting.
• Run platform performance comparisons and device compatibility testing across our hardware portfolio.
• Develop and document standard operating procedures (SOPs) for device onboarding and deployment so setup is repeatable and consistent across platforms.

[Data collection]

• Build and host data collection events; coordinate with external data collection partners and field testers to execute against collection plans.
• Maintain device and tester inventory so collection coverage aligns with ML model development priorities and product improvement ideas.
• Keep the team's automated data pipeline running, and perform data quality checks and session-level curation on incoming CSI to meet quality and scope needs.
• Perform manual ground-truth labeling, including reviewing camera-and-sensor imagery to label motion.
• Write and run test plans for collection and validation.

[Dogfooding]

• Dogfood our models daily by running live deployments in-office, surfacing real-world detection and false-alarm issues back to the team."

Qualifications:

• Bachelor's Degree in Computer Science, Engineering or relevant work experience
• 2 years of software QA work experience testing web and mobile native apps
• Prior experience in hardware/router configurations, provisioning, debugging, etc.
• Prior experience in data collections - building, hosting, coordinating related data collection events; maintaining device and tester inventory
• Ability to communicate clearly and professionally with all levels of an organization
• Strong coordination and facilitation skills
• Excellent time management skills and be accustomed to working with deadlines