Remote Mechanical Test Technician: Data & Diagnostics

YO AI Labs; Houston (TX); Remote; USD 34,000 - 69,000; Full time

Job summary

YO AI Labs is seeking Mechanical Engineering Technicians to support an advanced AI benchmark project, working remotely on an output-based compensation model. You will design realistic testing tasks, capture logs and sensor data, and produce failure-diagnosis scenarios with detailed rubrics.

The role emphasizes independent remote work with rapid onboarding and task initiation. Applicants should have 4+ years of hands-on mechanical testing experience and proficiency with instrumentation, data

Qualifications

• 4+ years of hands-on mechanical testing experience.
• Associate degree or relevant credential preferred.
• Experience with instrumentation, sensors, data acquisition systems, and prototype testing.
• Ability to document test procedures, results, and failure modes.
• Strong analytical and troubleshooting skills.
• Comfortable working with CSVs, spreadsheets, PDFs, and technical datasets.
• Ability to work independently in a remote environment.

Responsibilities

• Create realistic technician tasks involving test setup, instrumentation, data collection, and failure diagnosis.
• Develop technical datasets such as test logs, calibration records, sensor outputs, and failure reports.
• Define accurate solution pathways and next-step recommendations based on test data.
• Create detailed 35+ point grading rubrics covering instrumentation, data interpretation, and failure analysis.
• Document test procedures, observations, results, and diagnostic findings clearly.
• Ensure tasks reflect real-world professional complexity rather than textbook scenarios.

Skills

Test Setup

Data Interpretation

Failure Diagnosis

Instrumentation

Sensor & Data Acquisition

Mechanical Testing

Technical Documentation

Data Analysis

Quality & Troubleshooting

Education

Associate degree or relevant trade/technical credential

Tools

CSV

Spreadsheets

PDFs

Job description

YO AI Labs is seeking Mechanical Engineering Technicians to support an advanced AI benchmark project, working remotely on an output-based compensation model. You will design realistic testing tasks, capture logs and sensor data, and produce failure-diagnosis scenarios with detailed rubrics.

The role emphasizes independent remote work with rapid onboarding and task initiation. Applicants should have 4+ years of hands-on mechanical testing experience and proficiency with instrumentation, data