micro1 is engaging Physics Professors and Researchers (PhD) to support a customer's innovative project at the intersection of physics, research, and education.
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.
Responsibilities
Develop and review physics problems, solutions, and explanatory content across a broad range of sub-disciplines.
Analyze and evaluate model outputs for scientific validity, clarity, and educational value.
Contribute high-level feedback on complex research topics and theoretical concepts.
Assess and refine AI-generated explanations for accuracy and pedagogical effectiveness.
Collaborate remotely with project leads and fellow experts to standardize best practices in content review.
Produce clear, concise written feedback and participate in asynchronous discussions regarding project advancements.
Leverage your teaching and research experience to ensure authenticity and rigor in all deliverables.
Preferred skills
PhD in Physics (or currently pursuing a PhD in Physics with advanced research and teaching experience).
Demonstrated expertise in both theoretical and applied physics domains.
Strong track record of teaching, curriculum development, or mentoring in academic settings.
Experience publishing and critically reviewing scientific research.
Exceptional written and verbal communication abilities, with a keen eye for detail and clarity.
Prior involvement with interdisciplinary projects or educational technology initiatives is a plus.
Comfort working independently and collaboratively in a remote, asynchronous environment.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyMicro1
