Semiconductor Yield / Defect Engineer (Wafer Fab SEM Review)

You will use production wafer-fab experience to review semiconductor defects and yield data for AI training. The work includes making evidence-based decisions about defect causes, excursion events, and lot status, then explaining your findings clearly.

• Review SEM findings from wafer-fabrication processes and classify defects accurately.
• Analyze yield-loss mechanisms and connect defect patterns to process issues.
• Evaluate excursion events and recommend lot holds or releases using evidence and established industry practices.
• Interpret and annotate wafer sort and test-floor data, including bin maps and parametric datasets.
• Identify defect paretos and support source-attribution analysis to trace root causes.
• Document observations and provide concise technical feedback for AI learning modules.

This is a part-time contractor role for people with practical semiconductor manufacturing experience.

• Pay: $20 to $60 per hour.
• Work type: Part-time contract.
• Location: Open to candidates across multiple countries in North America, South America, Europe, Asia, Africa, and the Middle East.
• Language: Fluent in English.
• Required experience: Production wafer-fab work with SEM-based defect review and yield analysis.
• Required experience: Integrated sort or test-floor work; research cleanroom experience alone is not sufficient.
• Required skills: Defect classification, excursion management, yield improvement, and wafer sort or test-floor analysis.
• Required skills: Ability to interpret bin data and test metrics and explain technical conclusions clearly in writing and conversation.
• Relevant background: Process integration, defect engineering, or yield engineering at a semiconductor manufacturing facility.
• Helpful experience: Inline inspection, excursion handling, sort data, or defect-review tools.
• Helpful equipment knowledge: KLA, AMAT, Hitachi, or comparable inspection and review equipment.
• Former or retired fab engineers are welcome when they have directly relevant experience.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 7 screening questions.

AI training is the human work behind systems that learn from examples, including reviewing documents, classifying information, and checking model outputs. OpenTrain is a platform where people find these projects, build an AI training profile, and apply for roles across the industry.