About the job
We invite you to submit your CV in English, specifying your proficiency in the language.
At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities with leading technology firms. Our focus is on enhancing, testing, and evaluating AI systems. Please note that this is a project-based role and not a permanent position.
What You'll Be Doing
The scope of each project varies, but typical tasks may include:
- Creating innovative material engineering problems that mimic real-world engineering workflows;
- Developing problems that require Python programming for engineering calculations and simulations;
- Ensuring that problems are computationally intensive, utilizing numerical methods or iterative solutions;
- Constructing problems related to system design, optimization, and analysis;
- Formulating problems based on genuine research challenges or practical engineering applications;
- Validating solutions using Python alongside standard engineering libraries;
- Clearly documenting problem statements and providing confirmed correct answers.
Who We Are Looking For
This role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Material Science or a related discipline;
- Proficiency in Python for numerical validation; alternatives such as MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries will also be considered;
- A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;
- A solid understanding of practical engineering constraints and approximations;
- Strong written English skills (C1 level or higher).
How the Process Works
Application → Qualification Assessment → Project Engagement → Task Completion → Payment
Expected Project Commitment
For this role, tasks are anticipated to require between 10 to 20 hours a week during active project phases, based on specific project needs. This is an estimate and not a guaranteed workload.
Compensation
Contributors can earn up to $10 per hour, depending on expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and the required skill set.
