Material Scientist with Python - Freelance AI Trainer
Munich, Bavaria, Germany · 自由职业者
抢先申请
- 经验
- 2年以上
- 薪水
- 每小时 45 美元
- 职位空缺
- 1
- 发布
- 2周前
- 工作模式
- 在办公室
- 学历
- 材料科学或相关领域的学位
- 合格
- 具有 Python 经验的材料科学家和工程师，正在寻找兼职、基于项目的 AI 工作机会。
- 恢复
- 需要申请
你的工作地点
职位描述
About Mindrift
Mindrift connects specialists with project-based AI opportunities for leading tech companies. Our focus is on testing, evaluating, and improving AI systems. Participation is project-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 and engineers with Python experience, open to part-time, non-permanent projects. Ideally, contributors will have:
- A degree in Material Science or related fields.
- Python proficiency for numerical validation. Equivalent knowledge in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is also considered.
- A minimum of 2 years of professional experience, which can include applied, research, or teaching experience.
- An understanding of practical engineering constraints and approximations.
- Strong written English skills (C1+).
How It Works
The process involves applying, passing qualifications, joining a project, completing tasks, and getting paid.
Project Time Expectations
For this specific project, tasks are estimated to require approximately 10-20 hours per week during active phases. This is an estimate and not a guaranteed workload, applicable only while the project is active.
Compensation
On this project, contributors can earn up to an equivalent of $45 per hour, depending on their skill level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels.
Additional Information
Please submit your CV in English and indicate your level of English proficiency.