Remote Semiconductor Jobs in Secaucus, NJ (NOW HIRING)

Specialised Part-Time Consulting OpportunityWe are sharing a specialised part-time consulting opportunity for experienced semiconductor and materials professionals with hands-on expertise in Atomic Layer Deposition (ALD), thin-film processing, precursor chemistry, and materials characterisation.This long-term role supports an advanced AI research initiative focused on semiconductor manufacturing and the physical sciences. Selected professionals will apply deep ALD expertise to develop technical training data, evaluate scientific reasoning, create expert-level problems, and improve how advanced AI systems understand deposition processes, materials behaviour, and semiconductor fabrication.Key ResponsibilitiesALD Process & Thin-Film ExpertiseApply hands-on expertise in Atomic Layer Deposition process development, optimisation, and troubleshootingAnalyse deposition parameters, process windows, film properties, and surface-reaction behaviourWork with thin-film processes relevant to semiconductor and advanced-packaging applicationsEvaluate technical trade-offs involving deposition conditions, materials selection, and process performanceContribute accurate domain knowledge grounded in real laboratory or production experiencePrecursor Chemistry & Materials AnalysisApply knowledge of precursor chemistry and surface reaction mechanismsEvaluate chemical and physical factors affecting ALD growth and film qualityInterpret materials characterisation data using techniques such as XRD, SEM, TEM, XPS, and ellipsometryAssess film composition, morphology, thickness, uniformity, interfaces, and related material propertiesIdentify technically incorrect assumptions or conclusions in scientific analysesScientific Problem Development & AI EvaluationDesign and solve challenging expert-level problems involving ALD and semiconductor processingReview AI-generated scientific reasoning for technical accuracy and completenessIdentify errors in deposition physics, chemistry, process design, and materials analysisRate and rank model outputs using defined scientific criteriaProvide clear written reasoning supporting evaluation decisionsTechnical Data DevelopmentStructure process parameters, deposition recipes, characterisation results, and scientific knowledge into organised technical dataDevelop high-quality reference material for model training and evaluationEnsure technical information is accurate, internally consistent, and clearly documentedTranslate specialised semiconductor-process expertise into precise written explanationsDeliver reliable work according to defined project timelines and quality standardsIdeal ProfileStrong candidates may have:Hands-on experience developing, optimising, or troubleshooting ALD processesDeep knowledge of thin-film deposition for semiconductor or advanced-packaging applicationsStrong understanding of precursor chemistry and surface reaction mechanismsExperience interpreting thin-film and materials characterisation resultsFamiliarity with XRD, SEM, TEM, XPS, ellipsometry, or comparable characterisation techniquesPractical understanding of semiconductor processing and materials integrationStrong scientific reasoning and problem-solving skillsClear written English and the ability to explain complex technical decisions preciselyAvailability for at least 10 hours per weekCurrent residence in the United StatesEducational BackgroundAn MS or PhD in materials science, chemistry, chemical engineering, physics, or a closely related discipline is highly relevantEquivalent advanced hands-on professional experience in ALD, semiconductor processing, or thin-film engineering may also be consideredResearch or industry experience involving deposition processes and semiconductor materials is particularly valuableNice to HaveSemiconductor process-development experienceAdvanced-packaging or semiconductor manufacturing experienceExperience developing new ALD precursors or process chemistriesBackground in surface science or thin-film growth mechanismsExperience correlating process parameters with materials-characterisation resultsFamiliarity with process integration and manufacturing-scale depositionExperience authoring technical training materials or scientific evaluation tasksPrior experience with AI evaluation, scientific annotation, or structured technical reviewWhy This OpportunityApply specialised ALD expertise to advanced semiconductor AI researchWork with realistic deposition, materials, and process-development problemsHelp improve scientific reasoning across semiconductor and physical-science applicationsCreate and evaluate technically demanding expert-level contentParticipate in a long-term remote engagement with flexible weekly hoursContribute between approximately 10 and 40 hours per week depending on availability and project needsContract DetailsIndependent contractor roleFully remote within the United StatesLong-term, ongoing engagementMinimum commitment of approximately 10 hours per weekPotential workload of up to approximately 40 hours per weekCompensation of up to $80 per hour depending on expertise and project scopeWork may include ALD process analysis, scientific problem development, AI output evaluation, technical data structuring, and materials reviewWeekly payments via Stripe or WiseProjects may be extended, shortened, or adjusted depending on scope and performanceWork will not involve access to confidential or proprietary information from any employer, client, or institutionThis opportunity is available through 24-MAG LLC. 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