Material Scientist - Freelance AI Trainer with Python Expertise

MindriftRemote — Manitoba, Canada

Remote Part-time CA$35/hr - CA$35/hr

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Experience Level

Experience

Qualifications

A degree in Material Science or a related discipline; proficiency in Python; 2+ years of relevant experience; understanding of engineering constraints; strong written English.

About the job

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

Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.

Opportunity Overview

Each project presents a variety of unique tasks that contributors may undertake, including:

Creating original materials that simulate authentic engineering workflows;
Formulating engineering problems that necessitate Python programming for simulations and calculations;
Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;
Developing challenges around system design, optimization, and analysis;
Designing problems based on real-world research challenges or practical applications from the field;
Validating solutions using Python with standard engineering libraries;
Clearly documenting problem statements and providing verified, accurate answers.

Qualifications and Skills Required

This role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:

A degree in Material Science or a related discipline;
Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;
A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;
A solid understanding of practical engineering constraints and approximations;
Exceptional written communication skills in English (C1+ level).

How the Process Works

Application → Qualification Assessment → Project Engagement → Task Completion → Compensation

Expected Project Commitment

This project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.

Compensation Details

Contributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

About Mindrift

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

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Jan 12, 2026

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Material Scientist - Freelance AI Trainer with Python Expertise

Mindrift

Part-time|CA$35/hr - CA$35/hr|Remote|Remote — Manitoba, Canada

Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

May 2, 2026

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Grafana Labs stands as a beacon of innovation in the realm of open-source software, proudly boasting over 20 million users globally. Our flagship product, the Grafana visualization tool, empowers individuals and organizations to monitor a diverse array of systems, from ecological phenomena to advanced technological infrastructures. Our visually striking dashboards have gained recognition in prestigious venues such as NASA, Minecraft HQ, Wimbledon, and the Tour de France. We proudly serve over 3,000 organizations, including industry giants like Bloomberg, JPMorgan Chase, and eBay, in managing their observability strategies through our Grafana LGTM Stack, which can be utilized either fully managed through Grafana Cloud or self-managed with the Grafana Enterprise Stack, both incorporating scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we scale rapidly, we remain committed to our core values: a legacy of open-source development, a culture that fosters global collaboration, and a dedication to impactful work. Our team flourishes in an environment driven by transparency, autonomy, and trust.If you find this role intriguing despite not meeting every qualification, we encourage you to apply and explore what could be a career-defining opportunity.This is a remote position, and we are currently considering applicants from Canada time zones only.

Feb 12, 2026

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Freelance AI Trainer - Material Scientist with Python Expertise

Mindrift

Part-time|CA$35/hr - CA$35/hr|Remote|Remote — Manitoba, Canada

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. The focus is on assessing, evaluating, and improving AI systems. All positions are project-based and do not offer permanent employment. Role overview This freelance, remote position is available to candidates based in Manitoba, Canada. Material scientists with strong Python expertise will design and validate engineering challenges for AI projects. The work centers on creating realistic problems and ensuring solutions are accurate and practical. Main responsibilities Develop materials engineering problems that reflect real-world processes Create tasks requiring Python programming for calculations and simulations Ensure problems involve computational complexity, such as numerical methods or iterative solutions Design challenges focused on system design, optimization, and analysis Base problems on authentic research or practical engineering scenarios Validate all solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or teaching Solid understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Project commitment Expect to contribute roughly 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. This estimate applies only during active phases and does not guarantee a set number of hours. Compensation Earn up to $35 per hour, depending on contribution and pace. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different rates depending on their needs. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation

Apr 24, 2026

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