Freelance AI Trainer - Statistics & Python Specialist

MindriftRemote — Metro Manila, Philippines

Remote Part-time $11/hr - $11/hr

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Experience Level

Experience

Qualifications

Requirements:Degree in Statistics or related disciplines. Proficient in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any other programming language is acceptable.2+ years of professional experience in applied work, research, or teaching. Excellent written English skills (C1+). Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are a plus.

About the job

We invite you to submit your CV in English, detailing your English proficiency level.

At Mindrift, we connect talented specialists with exciting project-based opportunities in the AI sector, collaborating with leading tech companies to enhance, evaluate, and optimize AI systems. Please note that participation is on a project basis and does not constitute permanent employment.

What This Role Involves:

Contributors will engage in various unique tasks across different projects, including:

Creating original computational statistics problems that reflect real-world mathematical research processes;
Developing Python-based solutions for complex problems utilizing libraries such as Numpy, SciPy, and Sympy;
Designing challenges that are computationally intensive and cannot be solved manually within a reasonable timeframe;
Formulating questions that involve sophisticated reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;
Drawing upon genuine research dilemmas or practical applications relevant to mathematical practices;
Validating solutions using Python and standard mathematical libraries;
Clearly documenting problem statements and providing verified, correct solutions.

Qualifications We Seek:

This position is ideal for professionals in statistics with Python expertise who are interested in part-time, non-permanent projects. The ideal candidate will possess:

A degree in Statistics or a related field;
Proficiency in Python for numerical verification; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;
A minimum of 2 years of professional experience in applied statistics, research, or teaching;
Strong written English skills (C1+ level);
Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.

Process Overview:

To start, apply → pass qualifications → join a project → complete tasks → receive compensation.

Project Commitment:

During active phases, contributors can expect to dedicate approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.

Compensation:

Contributors have the potential to earn up to $11 per hour, depending on their level of expertise and contribution speed. Compensation varies by project based on its scope, complexity, and required skills. Please be aware that different projects on our platform may offer varying earning rates depending on their specific needs.

About Mindrift

Mindrift is a pioneering platform that connects specialists with noteworthy project-based opportunities in artificial intelligence. We work with top-tier technology firms to enhance AI systems, focusing on their testing, evaluation, and improvement.

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Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines

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toloka-ai

Part-time|$10/hr - $10/hr|Remote|Remote — Metro Manila, Philippines

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 DoingThe 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 ForThis 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 WorksApplication → Qualification Assessment → Project Engagement → Task Completion → PaymentExpected Project CommitmentFor 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.CompensationContributors 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.

May 2, 2026

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