$42k-$125k
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What this posting tells you
Remote contractor opportunity for an experienced wafer-fab yield or defect engineer to review and classify SEM defects, analyze yield and excursions, assess lot holds or releases, and interpret wafer sort and test data for AI training. Hands-on production-fab experience is emphasized; no compensation, education, work authorization, or schedule details are stated.
Data, Operations, Customer support
Eligible countries are not stated.
Timezone overlap is not stated.
Experienced · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
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Explore the remote job marketSemiconductor Yield / Defect Engineer (Wafer Fab, SEM Defect Review) at micro1
Role Title: Semiconductor Yield / Defect Engineer (Wafer Fab, SEM Defect Review)
Role Type: Contractor
Location: Remote
micro1 is engaging Semiconductor Yield / Defect Engineers (Wafer Fab, SEM Defect Review) to support a customer engagement focused on advancing semiconductor manufacturing analytics. 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 ideal for yield, defect, or process integration experts with direct hands-on experience in wafer fab production environments, especially those familiar with facilities operating their own sort floors. Retired or former fab engineers are highly encouraged to participate and share their invaluable experience.
Scope of Work
Conduct SEM (Scanning Electron Microscope) defect review and accurate classification of defects observed in wafer fabrication processes.
Interpret and analyze yield loss mechanisms, correlating defect patterns with process-related issues.
Evaluate excursion events and make informed lot-hold or release recommendations based on empirical evidence and industry best practices.
Review, interpret, and annotate wafer sort and test floor data, including bin maps and parametric datasets.
Identify defect paretos and contribute to source attribution analysis to trace root causes.
Document observations, communicate technical findings, and provide actionable feedback in clear, concise written and verbal formats for integration into AI learning modules.
Preferred qualifications
Extensive hands-on experience in wafer fab environments, with a focus on SEM-based defect review and yield analysis.
Demonstrated expertise in production fabs with integrated sort/test floors; experience limited to research cleanrooms does not qualify.
Proficiency with defect classification methodologies, excursion management, and yield improvement strategies.
Strong ability to analyze wafer sort/bin data and interpret test floor metrics to inform defect and yield investigations.
Exceptional written and verbal communication skills, able to explain complex technical concepts to diverse audiences.
Background in process integration or defect/yield engineering at major semiconductor manufacturing facilities.
Experience as a retired or former fab engineer considered a valuable asset.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.