PhD Engineer for AI Model Training
$80–$90/hr
RemoteRemote 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 traiContracttechnologyUpdated Jul 10, 2026
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Engage in a transformative role where your expertise in Electrical, Mechanical, or Chemical engineering will directly contribute to the advancement of next-generation AI systems. As a PhD Engineer, you will play a crucial part in shaping how AI models learn, reason, and perform by providing high-quality, real-world input.
Key Responsibilities- 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.
- 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.
Contractor position, fully remote.
Compensation$80 - $90 per hour.
EligibilityNo prior experience in AI is required; your domain knowledge is what matters.