Freelance Electrical Engineer & Python Specialist - AI Training

Toloka AI seeks a Computer Science Specialist with advanced Python skills to support AI projects on the Mindrift platform. This remote position is based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This role focuses on contributing to AI-driven initiatives that shape Toloka's technology solutions. The position involves regular collaborati…

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects professionals with project-based AI work for leading technology firms, focusing on testing, evaluating, and improving AI systems. This Mathematics & Python Specialist - Freelance AI Educator position is project-based and not a permanent role. What you will do Design original computational mathematics problems that reflect real research workflows Create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensure problems are computationally intensive and cannot be solved manually within a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base problems on genuine research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also acceptable At least 2 years of professional experience in applied, research, or teaching settings Background in numerical methods and symbolic computation Ability to design problems that mirror authentic mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1 or higher) Project details Project tasks typically require about 10–20 hours per week during active phases. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Contributors can earn up to $29 per hour, depending on experience and the pace of contribution. Rates vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different earning potential depending on their requirements. Application process Submit your application Pass qualification(s) Engage in a project Complete assigned tasks Receive compensation

Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top-tier technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that these opportunities are project-based and do not constitute permanent employment.Role OverviewEach project presents distinct challenges, and contributors may be tasked to:Design innovative computational physics problems that replicate authentic physics research methodologies;Develop problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure that tasks are computationally demanding and cannot be resolved manually in a reasonable timeframe (days/weeks);Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on actual research dilemmas or applicable scenarios from the field of physics;Validate solutions using Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideal for physicists with Python experience seeking part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language may also be considered;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;A creative approach to designing problems that reflect real-world physics research workflows;Familiarity with physics modeling and approximation methodologies;Strong written communication skills in English (C1 level or higher).Application ProcessInterested candidates should apply, pass necessary qualifications, join a project, complete assigned tasks, and receive compensation accordingly.Project CommitmentFor this project, contributors can expect to dedicate approximately 10 to 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 $29 per hour, contingent upon their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skill set. Please be aware that other projects on our platform may offer different compensation levels based on their unique requirements.

Toloka AI is seeking a Freelance AI Trainer with a background in Biology and Python programming. This remote position is based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This contract role centers on supporting AI training projects. The focus is on applying subject matter expertise in biology and hands-on Python skills to help improve machine learning models. Collaboration with a team of professionals is a key part of the work, aiming to advance AI capabilities. What you will do Contribute biological knowledge and Python programming experience to AI model training tasks Work remotely with a diverse team to enhance project outcomes Help refine and improve the quality of machine learning models Requirements Expertise in biology Proficiency in Python programming Ability to work effectively in a remote, collaborative setting

Join toloka-ai as a Freelance Data Scraping Engineer specializing in Python. In this role, you'll harness your technical expertise to extract valuable data insights from various sources, contributing to projects that drive our innovation and improvement. Your work will directly impact our data analysis capabilities, enabling better decision-making across teams.

Mindrift connects chemistry specialists with freelance, project-based AI work in partnership with major technology companies. This is not a permanent employment role; participation is on a per-project basis. The focus is on optimizing, testing, and enhancing AI systems through real-world computational chemistry challenges. Role overview As a Chemistry and Python Specialist, projects involve designing and validating advanced computational chemistry problems. These tasks often require Python programming and a strong grasp of research workflows in chemistry. Contributors may: Create complex chemistry problems that reflect current research practices Design problem sets requiring Python solutions, using tools like NumPy, SciPy, and specialized chemical libraries Ensure problems are computationally intensive, beyond manual resolution within days or weeks Develop questions that call for advanced reasoning in physical chemistry, quantum chemistry, or molecular modeling Base problems on real research scenarios or practical chemistry applications Validate solutions using Python and established computational chemistry techniques Document problem statements clearly and provide verified solutions Requirements Degree in Chemistry or a closely related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, or libraries like NumPy, Pandas, and SciPy is also considered At least 2 years of relevant experience in applied research or teaching Knowledge of numerical methods in chemistry Solid understanding of computational chemistry principles Excellent written English (C1 proficiency or higher) Application process Submit your CV in English and indicate your level of English proficiency Complete the qualification steps Join a project and complete assigned tasks Receive payment after project completion Time commitment Estimated workload is 10-20 hours per week during active project phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Contributors can earn up to $29 per hour, depending on experience and pace. Rates may vary by project based on complexity and expertise required.

We kindly ask you to submit your CV in English, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities at top technology firms, focusing on testing, evaluating, and enhancing AI systems. Please note this is a project-based role and not a permanent position.Role OverviewEach project features distinct tasks, where contributors may be expected to:Design original computational engineering challenges that effectively mimic real-world engineering workflows;Create programming tasks utilizing Python to solve engineering calculations and simulations;Ensure that the challenges are computationally demanding, requiring numerical methods or iterative solutions;Develop problems encompassing system design, optimization, and thorough analysis;Base problems on authentic research challenges or practical applications within the engineering field;Validate solutions using Python, employing standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewTo participate, candidates must apply, pass qualifications, join a project, complete assigned tasks, and receive payment.Project CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a fixed workload.CompensationContributors can earn up to $31 per hour, contingent on their expertise and contribution pace. Compensation across projects may vary based on scope, complexity, and required expertise. Note that other opportunities on the platform may present different compensation levels.

We invite candidates to submit their CV in English and specify their level of English proficiency.Mindrift is a dynamic platform that 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.About the RoleEach project presents unique challenges, and contributors may be tasked with:Creating original computational statistics problems that emulate authentic mathematical research workflows;Formulating Python programming challenges requiring solutions through libraries such as Numpy, SciPy, and SymPy;Ensuring tasks are computationally demanding and cannot be solved manually within reasonable timeframes;Developing problems necessitating complex reasoning in fields such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in genuine research challenges or practical mathematical applications;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis opportunity is ideal for statistics experts with Python experience looking for part-time, flexible projects. Preferred candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical analysis. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Excellent written English skills (C1 level or higher);Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentExpect to dedicate approximately 10–20 hours per week during active project phases. This is an estimate and not a guaranteed workload.CompensationEarn up to $34 per hour based on your expertise and contribution pace. Compensation varies based on the project's scope, complexity, and required skills. Please note that other projects may offer different pay rates.

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 enhancing AI systems. This is a project-based opportunity and does not offer permanent employment.Opportunity Overview:While each project presents unique challenges, contributors may be tasked with:Creating innovative material engineering problems that replicate real-world engineering workflows;Formulating problems that necessitate Python programming to execute engineering calculations and simulations;Ensuring problems are computationally intensive and require the application of numerical methods or iterative solutions;Designing problems focused on system design, optimization, and analysis;Grounding problems in real research challenges or practical applications from the field of engineering;Validating solutions using Python and established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for material scientists and engineers with Python experience who are open to non-permanent, part-time project work. Ideally, candidates should possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming languages will also be considered;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and methodologies;Exceptional written communication skills in English (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Commitment:During active phases, tasks are expected to require approximately 10–20 hours per week, contingent on project demands. Please note this is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $29 per hour, depending on their contribution level and pace. Compensation may vary across different projects based on scope, complexity, and required expertise.

Please submit your CV in English and include your English proficiency level. toloka-ai, working with Mindrift, offers freelance, project-based work for material scientists with strong Python skills. This remote role is not a permanent position and is based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This position centers on creating and validating materials engineering problems that reflect real engineering workflows. The work involves both problem design and solution development, with a focus on computational rigor and practical relevance. What you will do Develop original materials engineering problems inspired by real-world research and practical applications Write and validate solutions in Python, using standard engineering libraries Apply numerical methods or iterative approaches to ensure computational accuracy Design tasks involving system design, optimization, and analysis Clearly document problem statements and provide verified, correct answers Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable At least 2 years in applied research or teaching Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Engagement process Application Qualification assessment Project participation Task completion Payment Time commitment During active project phases, expect to spend about 10-20 hours per week. Actual workload can vary and is not guaranteed to be consistent over time. Compensation Earn up to $29 per hour, depending on contribution and efficiency. Actual rates may differ by project based on complexity and required expertise. Other projects may have different pay scales.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology firms, focusing on enhancing, evaluating, and testing AI systems. This role is project-based and does not entail permanent employment.Key Responsibilities:Participants will engage in unique tasks on each project, which may include:Creating original computational physics problems that replicate real research workflows;Developing programming challenges that utilize Python (Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be resolved manually in a reasonable timeframe;Formulating challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Designing problems based on actual research issues or practical physics applications;Validating solutions using Python and standard physics simulation libraries;Clearly documenting problem statements and ensuring the provision of verified solutions.Qualifications:This opportunity suits quantum researchers with Python expertise who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation, with alternatives such as MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages being acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Familiarity with numerical simulation techniques;The capability to design problems that reflect genuine physics research workflows;Innovative thinking in problem design across various physics domains;An understanding of physics modeling and approximation methods;Strong written communication skills in English (C1 or higher).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Commitment:Tasks are expected to demand approximately 10–20 hours weekly during active phases, based on project scopes. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $29 per hour, contingent on their contribution level and pace. Compensation varies by project based on scope, complexity, and expertise required. Note that earnings may differ across other projects on the platform.

toloka-ai seeks a Freelance AI Trainer who combines civil engineering experience with solid Python programming skills. This contract position centers on training AI systems, drawing from practical engineering knowledge and coding expertise. Role overview This role involves using civil engineering concepts and Python to help develop and refine AI models. The work calls for both technical understanding of engineering principles and the ability to implement solutions in code. Location Remote work is available, but candidates should be based in Rome, Metropolitan City of Rome Capital, Italy.

Role overview Toloka AI seeks a Freelance Mathematics Expert - AI Trainer for a remote position based in Rome, Metropolitan City of Rome Capital, Italy. This role centers on developing and delivering training programs aimed at improving AI performance in mathematical contexts. Main responsibilities Apply mathematical expertise to guide the creation of AI training content and instructional methods. Design and deliver training programs that enhance AI's mathematical abilities. Assist in building tools and resources that use AI to support mathematics education. About Toloka AI Toloka AI creates artificial intelligence solutions for education and other fields, focusing on technology that addresses practical learning needs.

Toloka AI is hiring a Freelance English Writer and AI Trainer based in Rome, Metropolitan City of Rome Capital, Italy. This remote contract role centers on producing and refining English-language content to support the training and advancement of AI systems. Role overview This position involves writing clear and engaging content for different audiences. Collaboration with AI specialists is a key part of the job, as is providing feedback to help improve artificial intelligence models. The work directly supports the development of new AI technologies. What you will do Create well-written English content tailored to varied readers Work alongside AI experts to train and assess AI models Offer thoughtful feedback that guides technology improvements Requirements Strong command of English writing Ability to explain ideas clearly and informatively Interest in collaborating with AI professionals and supporting technology growth This freelance position provides an opportunity to contribute to the progress of artificial intelligence as part of a team focused on innovation.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join its remote team based in Rome, Metropolitan City of Rome Capital, Italy. This position blends journalistic skills with practical involvement in artificial intelligence training projects. Key responsibilities Develop and refine training data to support AI initiatives Contribute journalistic writing that offers insights and perspectives for AI training tasks Location This is a remote role, open to candidates located in Rome and the surrounding metropolitan area.

Role overview toloka-ai is hiring a Senior Consultant for freelance AI projects. This position involves collaboration with leading MBB and other top-tier consulting firms. The role is remote, with a focus on candidates based in Rome, Metropolitan City of Rome Capital, Italy. What you will do Collaborate with industry experts on advanced AI projects Apply your expertise to assignments for well-known consulting firms Work alongside top professionals to help develop new solutions Location and flexibility This freelance position is fully remote. Work is based in Rome, Metropolitan City of Rome Capital, Italy, and candidates must be located within this area.

We invite you to submit your CV in English, including your proficiency level in the English language.Mindrift is dedicated to seamlessly connecting talented specialists with dynamic, project-based AI opportunities at premier technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational physics problems that replicate authentic research workflows in physics;Creating programming challenges that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally demanding, requiring extensive timeframes for manual resolution;Developing problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding the problems in real-world research challenges or practical applications from the realm of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified, accurate answers.Candidate ProfileThis role is ideal for optical engineers proficient in Python who are open to part-time, non-permanent project engagements. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Expertise in numerical simulation methods;A capability to design problems that reflect real physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Project WorkflowThe process is straightforward: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Time ExpectationsFor this project, contributors can expect to invest approximately 10–20 hours per week during active phases, depending on project requirements. Please note that this is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationCompensation for this project can reach up to $29 per hour, contingent on the contributor's expertise and contribution pace. Please be aware that compensation may vary across different projects based on their specific scope, complexity, and required expertise.

At Toloka-ai, we specialize in connecting talented professionals with innovative project-based AI opportunities at top-tier technology companies. Our focus is on enhancing AI systems through rigorous testing and evaluation. Please note that participation is project-based and not a permanent employment opportunity.About the RoleAs a Procurement & Supply Chain Consultant on this project, you will leverage your extensive hands-on experience to design realistic disruption scenarios, define expected outcomes and mitigation strategies, and assess AI-generated recommendations for their accuracy, completeness, and relevance to business needs.Project Involvement Includes:Creating realistic supply chain disruption scenarios (e.g., supplier delays, quantity changes, logistics issues, quality failures) rooted in actual manufacturing and procurement contexts.Establishing expected outcomes and effective mitigation strategies for each scenario.Evaluating AI-generated responses against real-world business logic.Assessing outputs for accuracy, completeness, and relevance within ERP environments, especially Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Contributing to structured data creation and validation tasks following established guidelines and frameworks.Desired Qualifications:At least 4 years of practical experience in procurement, supply chain, or purchasing, preferably within a manufacturing setting.In-depth understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning.Proficient in ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Proven ability to conceptualize and analyze supply chain disruption scenarios and corresponding mitigation strategies.Familiarity with various disruption types: delays, shortages, quality issues, and logistics challenges.Knowledge of Incoterms and transportation/logistics management.Understanding of Bill of Materials (BOM) structures and production planning processes.Experience with supplier performance metrics (On-Time In Full, lead times, quality scores).Analytical mindset capable of evaluating AI outputs against real-world business principles.Experience in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.Application Process:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project Time Expectations:The estimated workload for this project is approximately 10-20 hours per week during active phases, based on project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour, depending on experience and project specifics.

We are seeking a talented Freelance Agent Evaluation Engineer to join our innovative team at Toloka AI. In this role, you will be responsible for evaluating and improving the quality of our agents, ensuring they meet our high standards for performance and reliability. This is an exciting opportunity to contribute to the development of our cutting-edge AI solutions.