Remote PhD Engineer (Electrical, Mechanical, Chemical)

PhD Engineer (Electrical, Mechanical, Chemical) $80 - $90/hour Required Skills Calculus Data Analysis & Interpretation Literature Review Experimental Design Research Methodology About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. 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. Scope of Work Deliver authoritative written responses to complex engineering prompts in your area of expertise Review and interpret scientific literature to provide contextually accurate and current insights Design and document realistic experimental scenarios based on advanced engineering principles Analyze data and interpret results to inform AI training datasets with precision Apply sophisticated calculus and quantitative methodologies to problem-solving tasks Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines Collaborate with project coordinators to refine prompt response quality as needed Preferred Qualifications PhD in Electrical, Mechanical, or Chemical Engineering Demonstrated expertise in calculus, data analysis, research methodology, and experimental design Exceptional written and verbal communication skills with the ability to convey complex concepts clearly Strong literature review capabilities and familiarity with synthesizing scientific knowledge Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required) Proven ability to produce "golden response" level deliverables with accuracy and completeness Detail-oriented mindset and commitment to high-quality, impactful contributions #J-18808-Ljbffr Micro1