Job Description
About the Opportunity
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 original computational statistics problems that simulate real mathematical research workflows.
- Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
What we look for
- Statistics specialists with experience in Python.
- Degree in Statistics or related fields.
- Python proficiency for numerical validation. Equivalents include MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language.
- 2+ years of professional experience (applied, research, or teaching experience).
- Strong written English (C1+).
- Professional certifications (e.g., CMME, SAS Certifications, CAP) 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
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
Contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
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