Energy Engineering & Python Expert - Freelance AI Trainer at Mindrift

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

40.0

Posted On

21 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Energy Engineering, Python, AI Training, NumPy, Pandas, SciPy, Numerical Validation, Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics, AI Evaluation, Simulation Validation

Industry

technology;Information and Internet

Description

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: 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. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. 3+ years of professional energy engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Responsibilities

Contributors will be responsible for designing rigorous energy engineering problems that reflect professional practice and evaluating AI solutions for correctness, assumptions, and constraints. This includes validating calculations using Python and improving AI reasoning to align with industry standards.