Remote Hardware Test Engineer - Robotics (Contract)

RemoteJobsOne; Atlanta (GA); On-site; USD 14,000 - 28,000; Part time

Job summary

RemoteJobsOne is seeking a Break-It-To-Build-It — Hardware Tester for a fully remote role in the United States. This contractor position involves hands-on testing of robotic hardware components and contributing to AI-training data.

You will document procedures and findings, follow strict protocols, and work with engineers to identify improvements. No prior AI experience is required; domain knowledge and practical lab skills are valued.

Qualifications

• Bachelor's degree or pursuing in Mechanical Engineering, Robotics, Mechatronics, Electrical Engineering, or related.
• Ability to handle physical equipment and perform hands-on technical tasks.
• Excellent attention to detail and reliability in following procedures.

Responsibilities

• Conduct hands-on functional and reliability tests on robotic sub-assemblies and hardware components.
• Operate diagnostic tools such as DAQ systems, measurement instruments, and other test equipment per provided protocols.
• Document test procedures, observed results, and anomalies in writing and verbally.
• Identify and describe failures or unexpected behaviors observed during testing.
• Collaborate with engineers to investigate root causes and suggest improvements.
• Follow detailed test protocols with high accuracy and reliability.
• Contribute to continuous improvement of testing processes and documentation.

Skills

Attention to detail

Strong communication

Documentation

Education

Bachelor's degree in Mechanical Engineering or related

Tools

DAQ systems

Test equipment

Job description

RemoteJobsOne is seeking a Break-It-To-Build-It — Hardware Tester for a fully remote role in the United States. This contractor position involves hands-on testing of robotic hardware components and contributing to AI-training data.

You will document procedures and findings, follow strict protocols, and work with engineers to identify improvements. No prior AI experience is required; domain knowledge and practical lab skills are valued.