Freelance Electrical Engineer & Python Specialist - AI Trainer

toloka-aiRemote — València, Valencian Community, Spain

Remote Part-time $31/hr - $31/hr

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Experience Level

Experience

Qualifications

Minimum qualifications include a degree in Electrical Engineering or a related field, along with strong Python programming skills. Candidates should have a minimum of 2 years of relevant experience and be proficient in English (C1 level or higher).

About the job

We invite you to submit your CV in English, along with your level of English proficiency.

Mindrift connects talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.

Opportunity Overview

Each project presents unique challenges, and contributors may be involved in tasks such as:

Crafting original computational engineering problems that emulate real-world engineering processes;
Developing programming challenges using Python to carry out engineering calculations and simulations;
Ensuring that problems are computationally demanding and necessitate numerical methods or iterative solutions;
Creating scenarios involving system design, optimization, and analysis;
Formulating problems based on genuine research challenges or real-world engineering applications;
Validating solutions using Python with standard engineering libraries;
Clearly documenting problem statements and providing verified correct answers.

Candidate Profile

This role is suitable for engineers with experience in Python, looking for part-time, non-permanent project work. Ideal candidates will possess:

A degree in Electrical Engineering or related disciplines;
Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;
At least 2 years of professional experience, including applied, research, or teaching roles;
A solid understanding of practical engineering limitations and approximations;
Excellent written English skills (C1 or higher);
Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects is a plus.

Application Process

Apply → Pass qualifications → Join a project → Complete tasks → Get compensated

Project Time Commitment

Tasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.

Compensation

Participants can earn up to $31 per hour, based on their experience and contribution pace. Compensation varies across different projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels based on their specific requirements.

About toloka-ai

toloka-ai is at the forefront of connecting specialists with project-based AI opportunities in leading tech firms, emphasizing the enhancement and evaluation of AI systems.

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Freelance Electrical Engineer & Python Specialist - AI Trainer

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We invite you to submit your CV in English, along with your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Crafting original computational engineering problems that emulate real-world engineering processes;Developing programming challenges using Python to carry out engineering calculations and simulations;Ensuring that problems are computationally demanding and necessitate numerical methods or iterative solutions;Creating scenarios involving system design, optimization, and analysis;Formulating problems based on genuine research challenges or real-world engineering applications;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is suitable for engineers with experience in Python, looking for part-time, non-permanent project work. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Excellent written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects is a plus.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $31 per hour, based on their experience and contribution pace. Compensation varies across different projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels based on their specific requirements.

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Freelance AI Trainer & Material Scientist with Python Expertise

toloka-ai

Contract|$29/hr - $29/hr|Remote|Remote — València, Valencian Community, Spain

Please submit your CV in English and include your English proficiency level. toloka-ai, in partnership with Mindrift, connects material science experts to project-based AI work for major technology companies. These freelance roles involve testing, evaluating, and improving AI systems. All work is project-based and does not constitute permanent employment. Key Responsibilities Design original materials engineering problems that mirror real-world engineering workflows Create challenges that require Python programming for calculations or simulations Develop computationally intensive tasks using numerical methods or iterative approaches Formulate problems centered on system design, optimization, and analysis Incorporate real research questions or practical engineering scenarios into problem sets Validate solutions with Python and recognized engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a closely related field Strong Python skills for numerical validation (experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus) Minimum 2 years of professional experience, ideally in applied research or teaching Solid grasp of engineering constraints and practical approximations Excellent written English (C1 level or above) How Projects Work Submit an application Meet the required qualifications Join a project Complete assigned tasks Receive compensation Time Commitment During active project phases, tasks typically require 10 to 20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $29 per hour, depending on project complexity, expertise, and individual pace. Rates may vary between projects on the platform. Location: Remote , València, Valencian Community, Spain

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Full-time|Remote|Remote, Spain

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Dec 12, 2025

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Project Manager - Data Science Integrations Teams (Remote)

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Full-time|Remote|Remote — Spain

We are seeking a dynamic and results-driven Project Manager to join our Data Science Integrations Teams in a fully remote capacity. In this role, you will lead cross-functional teams to drive data science projects from inception to completion. You will coordinate with various stakeholders, ensuring that project objectives align with business goals while maintaining timelines and budgets.Your ability to manage multiple projects simultaneously and communicate effectively will be crucial to the success of our data initiatives. If you are passionate about leveraging data science to create impactful solutions, we would love to hear from you!

Mar 20, 2026

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