Semiconductor Process Expert - Fully Remote | Upto $84/hr
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.位置：原子层存放 (ALD) 专家类型：合同补偿：$84/小时地点：远程承诺：1040小时/周角色责任 ·为构建高质量的训练和评估数据提供领域专业知识。·审查和评估人工智能生成的科学推理，捕获错误并提高技术准确性。·设计和解决 ALD 和半导体处理领域的挑战性专家级别问题。· 根据明确的科学标准，进行清晰的书面推理；· 结构技术知识流程参数，食谱，特征结果到组织良好的模型准备数据中。· 在定义时间内提供可靠高质量的工作。资格必须有·经验开发，优化或故障排除 ALD 过程。· 深入了解半导体或先进包装应用的薄膜沉积。· 强烈掌握前置化学和表面反应机制。· 材料特征化经验 （XRD, SEM,TEM,XPS,形仪等）. · 高级学位 （博士/MS）或相应的实践经验在材料科学，化学，化学工程或物理。· 明确的书面英语和准确解释技术推理的能力。申请过程 （需要20~30分钟才能完成）· 上传简历 · AI 采访基于简历 ·提交资料和支持表格 · 请查看：·任何帮助或支持，请联系：PS:我们的团队每天审查应用程序。请完成你的 AI 采访和申请步骤将考虑这个机会。首次发布在喜马拉雅山脉
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About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Atomic Layer Deposition (ALD) Experts
Type:Contract
Compensation:$84/hour
Location:Remote
Commitment:10–40 hours/week
Role Responsibilities
- Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization to build high-quality training and evaluation data.
- Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
- Design and solve challenging, expert-level problems in ALD and semiconductor processing.
- Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
- Structure technical knowledge—process parameters, recipes, characterization results—into well-organized, model-ready data.
- Deliver reliable, high-quality work within defined timelines.
Qualifications
Must-Have
- Hands-on experience developing, optimizing, or troubleshooting ALD processes.
- Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
- A strong grasp of precursor chemistry and surface reaction mechanisms.
- Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.).
- An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, chemical engineering, or physics.
- Clear written English and the ability to explain technical reasoning precisely.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas