AI-Driven Energy Systems Engineer (Part-Time, Project-Based)

Mindrift; South Carolina; On-site; USD 41,000 - 69,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves: design energy engineering problems, evaluate AI solutions for correctness, validate calculations using Python, and apply structured scoring to multi-step problems. The project expects about 10–20 hours per week during active phases.

Qualifications

• 3+ years of professional energy engineering experience.
• Strong written English (C1/C2).
• Proficiency in Python for numerical validation.

Responsibilities

• Design rigorous energy engineering problems reflecting professional practice.
• Evaluate AI solutions for correctness, assumptions, and constraints.
• Validate calculations or simulations using Python (NumPy, Pandas, SciPy).
• Improve AI reasoning to align with industry-standard logic.
• Apply structured scoring criteria to multi-step problems.

Skills

Strong Python proficiency

Energy engineering experience

Professional English

Remote collaboration

Education

Degree in Energy Engineering or related fields

Tools

NumPy

Pandas

SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves: design energy engineering problems, evaluate AI solutions for correctness, validate calculations using Python, and apply structured scoring to multi-step problems. The project expects about 10–20 hours per week during active phases.