Statistics & Python Expert - Freelance AI Trainer
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Key skills for this role
About the Role
Mindrift is seeking a Statistics & Python Expert for project-based AI training work. The role involves designing computational statistics problems and verifying solutions using Python.
Key Skills for This Role
Responsibilities
- 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
- 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
Requirements
- Degree in Statistics or related fields
- Python proficiency for numerical validation
- 2+ years of professional experience (applied, research, or teaching)
- Strong written English (C1+)
Full Job Posting
Opportunity Overview
- 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
- Degree in Statistics 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.
- 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.
Compensation
- On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.
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