Industrial Engineers: Equipment Diagnostics and Sensor Data Analysis

Description

The company is running a paid study on how automated workflows handle complex information from industrial equipment diagnostics and sensor data.

The aim is to test how well these workflows perform in real operating situations, so that the team can refine the evaluation methods for greater accuracy and efficiency.

The session is remote, held on a video call, and you can share your screen to show your points.

The study is open to industrial engineers, equipment technicians, and reliability specialists with hands-on diagnostic experience. Experience from manufacturing, heavy machinery, energy, and related industrial sectors is welcome.

Responsibilities

• Look through sample sensor readings and the outputs an automated diagnostic system produced from them.
• Explain how you normally judge the condition of a piece of equipment, step by step.
• Judge whether the automated evaluations are accurate and dependable, and point out where they may miss something.
• Suggest practical changes that could improve the diagnostic systems.

Requirements

• Work experience in industrial engineering, equipment maintenance, or reliability.
• Practical experience reading sensor data and diagnosing equipment faults.
• Ability to talk comfortably about technical workflows and automated evaluation tools.

Conditions

Pay is $109 per hour.

The session is held remotely over video.

The company is a research and recruitment platform that connects vetted experts with AI labs, researchers, and product teams for paid studies across industries, languages, and skill sets. More information is available at the company's site.

Benefits

• The study is paid at $109 per hour.