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Quantitative Developer Remote Jobs in Minnesota (NOW HIRING)

micro1 AI

Engineering AI Evaluator (PhD)

Minneapolis, MN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ...

micro1 AI

Domain Expert - (STEM PhD)

Minneapolis, MN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ...

Daikin Applied

Technical Instructor - Remote

Plymouth, MN · On-site +1

Mentoring peers, shaping curriculum, and collaborating cross-functionally with engineering, product ... Evaluates program effectiveness using qualitative and quantitative metrics; recommends improvements ...

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LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Minneapolis, MN • Remote

$80 - $90/hr

Part-time

Posted 16 days ago

Job description

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

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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