About this role
Role Type: Contractor
Location: Remote
micro1 is engaging Electronics Assembly Quality Engineers to contribute their expertise on a customer project focused on electronics manufacturing quality and reliability. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is suited to process and quality engineering professionals with hands-on experience in reviewing X-ray images of area-array solder joints (BGA, CGA, LGA), analyzing solder defects, optimizing reflow processes, and laboratory specialists skilled in counterfeit electronic component screening. Cases span voiding, head-in-pillow, bridging, open joints, reflow profile adjustments, Class 3 acceptance, and component authenticity detection. Contributors may have strengths on either process quality or counterfeit analysis—please indicate your focus.
Scope of Work
- Analyze and interpret X-ray images of BGA, CGA, and LGA solder joints, identifying defects such as voiding, head-in-pillow, bridging, and opens.
- Review and suggest improvements to reflow soldering profiles to address process-related solder defects.
- Provide detailed root cause analysis and recommendations for solder joint anomalies and reliability concerns.
- Assess real-world cases for IPC Class 3 acceptance, documenting critical observations and decision criteria.
- Evaluate and outline test laboratory flows for counterfeit electronic component detection and screening.
- Deliver comprehensive written and verbal summaries of findings, ensuring clarity and actionable guidance.
- Contribute technical insights that enhance AI training data quality in the field of electronics assembly and component validation.