Freelance Statistics Expert with Python Expertise - AI Trainer

Mindrift

Barcelona

A distancia

EUR 32.639 - 46.486

A tiempo parcial

Hace 8 días

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

A leading AI opportunities platform is looking for statisticians to engage in project-based tasks involving design of statistics problems and evaluation of AI solutions. Ideal candidates will have a strong degree in Statistics, over 3 years of experience, and proficiency in Python. Contributors should be comfortable working part-time on a non-permanent basis and demonstrate strong written English proficiency. Payment is competitive, with rates up to $34/hour depending on the project requirements.

Formación

  • 3+ years of professional mathematics experience.
  • Experience in international or applied projects is an advantage.
  • Professional certifications (e.g., PStat, CAP, SAS Certifications) are a plus.

Responsabilidades

  • Design rigorous statistics problems reflecting professional practice.
  • Evaluate AI solutions for correctness, assumptions, and constraints.
  • Validate calculations or simulations using Python.

Conocimientos

Statistical analysis
Python proficiency
Strong written English

Educación

Degree in Statistics or related fields

Herramientas

NumPy
Pandas
SciPy
Statsmodels
Scikit-learn

Descripción del empleo

Please submit your CV in English and indicate your level of English proficiency.

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

While each project involves unique tasks, contributors may:

  • Design rigorous statistics problems reflecting professional practice;
  • Evaluate AI solutions for correctness, assumptions, and constraints;
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);
  • Improve AI reasoning to align with industry-standard logic;
  • Apply structured scoring criteria to multi-step problems
What We Look For

This opportunity is a good fit for statisticians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

  • Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc.
  • 3+ years of professional mathematics experience
  • Strong written English (C1/C2)
  • Strong Python proficiency for numerical validation
  • Stable internet connection

Professional certifications (e.g., PStat, CAP, SAS Certifications) 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

For this project, 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.

Payment
  • Paid contributions, with rates up to $34/hour*
  • Fixed project rate or individual rates, depending on the project
  • Some projects include incentive payments
  • Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
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