Mindrift
MaterialScientistwithPython-FreelanceAITrainer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Material Scientist with Python - Freelance AI Trainer at Mindrift. Skills: Material Science, Python, AI Training. Design material engineering problems. Create problems requiring Python programming”
What You'll Achieve.
Improve AI systems; Provide verified correct answers
Industry & Context.
Solve engineering calculations; Computational problems; Numerical methods; Iterative methods; System design; Optimization
What They're Looking For.
Must Have
Degree in Material Science or related, Python proficiency for numerical validation, 2+ years of professional experience, Understanding of practical engineering constraints, written English (C1+)
Nice to Have
MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata
What You'll Do.
Design material engineering problems
Create problems requiring Python programming
Ensure problems are computationally intensive
Develop problems involving system design
Base problems on real research challenges
Verify solutions using Python
Document problem statements clearly
How You'll Work.
Communication Scope
written English (C1+)
Full Job 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 original material engineering problems that simulate real engineering workflows; * Create problems requiring Python programming to solve engineering calculations and simulations; * Ensure problems are computationally intensive and require numerical methods or iterative solutions; * Develop problems involving system design, optimization, and analysis; * Base problems on real research challenges or practical applications from engineering practice; * Verify solutions using Python with standard engineering libraries; * Document problem statements clearly and provide verified correct answers. **What we look for** This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Material Science or related fields; * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; * 2+ years of professional experience: applied, research, or teaching experience is applicable; * Understanding of practical engineering constraints and approximations; * Strong written English (C1+). **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
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