Electronics Quality And Inspection Engineer

OpenTrain AI, Inc.; Northern (KY); Hybrid; USD 96,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a remote, part-time contractor with extensive electronics quality and CAM experience to evaluate PCB assemblies, interpret CAM/ Gerber data, and assess defect root causes. You will produce clear reports and contribute to AI training data for quality models.

The role emphasizes IPC-A-610, IPC/WHMA-A-620 criteria, and counterfeit part screening, with emphasis on clear documentation and communication for both technical and non-technical audiences.

Qualifications

• Minimum 8 years hands-on experience in electronics quality, CAM engineering, or failure analysis.
• Experience with PCB CAM files, Gerber data, and CAM software.
• Knowledge of IPC-A-610 and IPC/WHMA-A-620 inspection criteria.
• Experience evaluating counterfeit parts using standards.
• Excellent written and verbal communication for findings.

Responsibilities

• Review PCB CAM and Gerber files for manufacturability, quality, and compliance with industry standards.
• Perform IPC-A-610 and IPC/WHMA-A-620 visual inspections of PCB assemblies and wire harness builds.
• Analyze SMT and AOI defect types, identify false calls, and assess root causes and remediation options.
• Evaluate counterfeit electronic parts using AS6081 risk indicators and mitigation principles.
• Interpret C-SAM and X-ray inspection results for semiconductor packages, including die inspection and MIL-STD-883 checks.
• Prepare concise reports and explain findings to technical and non-technical audiences.
• Help refine AI training workflows and datasets.

Skills

IPC knowledge

Failure analysis

Quality inspections

Technical reporting

Tools

PCB CAM software

Gerber data interpretation

AOI/ SMT processes

Job description

The Work

You will turn specialized electronics quality judgment into clear evaluations, reports, and training data. The work covers manufacturing files, physical and visual inspection results, defect analysis, counterfeit components, and semiconductor package testing.

• Review PCB CAM and Gerber files for manufacturability, quality, and compliance with industry standards.
• Perform IPC-A-610 and IPC/WHMA-A-620 visual inspections of PCB assemblies and wire harness builds.
• Analyze SMT and AOI defect types, identify false calls, and assess root causes and remediation options.
• Evaluate counterfeit electronic parts using AS6081 risk indicators and mitigation principles.
• Interpret C-SAM and X-ray inspection results for semiconductor packages, including die inspection and MIL-STD-883 checks.
• Prepare concise reports and explain findings to technical and non-technical audiences.
• Help refine AI training workflows and datasets.

What It Pays And Takes

This is a remote, part-time contractor opportunity. The listing is marked entry level, but the required technical background includes at least eight years of hands-on experience in electronics quality, CAM engineering, or failure analysis.

• Pay: $70 to $120 per hour.
• Time requirement: 20 or more hours per week.
• Work arrangement: Remote contractor role; US-based candidates are preferred.
• Location: Open to candidates in the listed countries.
• Language: English.
• Experience: At least eight years in electronics quality, CAM engineering, or failure analysis, with practical experience in PCB assembly, wire harnesses, or semiconductor packaging.
• Required knowledge: IPC-A-610 and IPC/WHMA-A-620 inspection criteria, Gerber data, PCB CAM software, SMT processes, AOI defect analysis, AS6081 counterfeit component screening, C-SAM, X-ray inspection, and MIL-STD-883 procedures.
• Communication: Clear written and verbal communication for documenting and explaining technical findings.
• Preferred: IPC CIS or CIT certification.
• AI experience: Prior AI training or data-labeling experience is not required.

About AI Training Work

AI training work uses human review to help improve artificial intelligence systems. In this role, your electronics inspection expertise helps evaluate technical materials and produce reliable examples for AI models.