About The Position

We are sharing a specialised consulting opportunity for experienced Semiconductor Devices & Microelectronics Experts with strong expertise in semiconductor device physics, microfabrication, process integration, device modelling, reliability, materials, and microelectronics engineering to contribute to an advanced AI training and semiconductor-technology evaluation project. Selected professionals will analyse semiconductor-device concepts, fabrication and integration processes, device scaling, reliability, and materials, while reviewing AI-generated technical content for accuracy and engineering quality. No prior experience in AI is required.

Requirements

  • Master's or PhD in Electrical Engineering, Materials Science, Physics, or a related discipline
  • Extensive experience in semiconductor devices or microelectronics engineering
  • Strong understanding of semiconductor device physics and device design
  • Hands-on exposure to microfabrication and semiconductor process integration
  • Experience with device modelling, scaling, and performance optimisation
  • Familiarity with semiconductor reliability testing and failure mechanisms
  • Knowledge of materials used in semiconductor fabrication
  • Understanding of manufacturing yield, process variation, and process optimisation
  • Strong analytical and critical-thinking skills
  • Excellent written and verbal technical communication
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, research institution, laboratory, fabrication facility, or other third party.

Nice To Haves

  • Experience with technical publications, patents, or collaborative R&D projects is advantageous
  • No prior AI-training or model-evaluation experience is required.

Responsibilities

  • Device Physics, Scaling & Modelling: Analyse semiconductor-device operating principles and physical mechanisms, Evaluate device behaviour across different operating regimes, Review device models, scaling strategies, and performance predictions, Assess trade-offs involving power, speed, leakage, and reliability, Identify technically inaccurate or incomplete explanations.
  • Fabrication, Materials & Reliability: Review microfabrication processes, process flows, and integration strategies, Analyse process variation, manufacturability, yield, and optimisation considerations, Evaluate materials used in semiconductor and electronic-device fabrication, Assess degradation mechanisms, failure modes, reliability testing, and qualification approaches, Connect materials, fabrication choices, and process conditions with device performance.
  • AI Evaluation & Technical Review: Review AI-generated semiconductor and microelectronics content for accuracy and completeness, Identify technical errors, oversimplifications, weak assumptions, or missing context, Evaluate practical relevance across device, process, manufacturing, and reliability scenarios, Provide structured expert feedback supporting model improvement, Document technical reasoning, assumptions, and conclusions clearly.

Benefits

  • Independent contractor engagement
  • Fully remote
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service