Statistics & Python Expert - Freelance AI Trainer

10 hours, 21 minutes ago
Part-time
Junior
Data Science and Analytics
Mindrift.ai: Be the “I” in AI

Mindrift.ai: Be the “I” in AI

Join 10,000+ experts earning $15-50/hr training AI models remotely. Flexible freelance work, weekly payments. No AI experience required. Apply in 5 minutes.

Internet Software & Services

Description

  • Design original computational statistics problems that simulate real mathematical research workflows.
  • Create Python-based problems using Numpy, SciPy, and Sympy.
  • Develop computationally intensive problems that cannot be solved manually within a reasonable timeframe.
  • Create problems requiring non-trivial reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis.
  • Base problems on real research challenges or practical applications from mathematical practice.
  • Verify solutions using Python and standard mathematical libraries.
  • Document problem statements clearly and provide verified correct answers.
  • Complete project tasks during active phases on a part-time basis, typically around 10–20 hours per week.

Requirements

  • Degree in Statistics or a related field.
  • Python proficiency for numerical validation.
  • Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or another programming language may be considered equivalent.
  • 2+ years of professional experience, including applied, research, or teaching experience.
  • Strong written English proficiency at C1 level or higher.
  • Willingness to work on part-time, non-permanent, project-based assignments.
  • English CV submission required.
  • Indicate your level of English proficiency.
  • Professional certifications such as CMME, SAS Certifications, or CAP are an advantage.
  • Experience in international or applied projects is an advantage.

Benefits

  • Compensation up to $21 per hour equivalent.
  • Project-based paid work with earnings depending on contribution level and pace.
  • Flexible part-time workload of about 10–20 hours per week during active project phases.

Interested in this position?

Apply directly on the company website

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