Freelance Data Scraping Engineer (Python) at toloka-ai | Remote

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.

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.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based AI work for specialists, connecting professionals with assignments that focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. Role overview This freelance Optical Engineer - AI Trainer position centers on designing and documenting complex optics problems for AI training. Work is remote and open to candidates based in Rome or elsewhere in Italy. Each project may differ in scope and requirements. Main responsibilities Develop original optics problems that reflect real-world physics research workflows Create computationally intensive challenges that cannot be solved by hand in a short period Design problems requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics Base each challenge on real research questions or practical applications in optics and physics Document all problems clearly and provide accurate, verified solutions Requirements Background as an optical engineer interested in part-time, project-based work Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum 2 years of experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to design problems that mirror authentic research workflows Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation techniques Strong written English skills at C1 level or higher Application process Apply with a CV and details on English proficiency Complete qualification steps Join a project Work on assigned tasks Receive compensation Project commitment Expect to dedicate 10–20 hours per week during active project phases. Actual hours may change depending on project needs. Compensation Rates can reach up to $29 per hour, depending on expertise and speed. Actual pay may vary by project scope, complexity, and required skills. Other Mindrift projects may offer different compensation based on their requirements.

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, and please specify your English proficiency level.At Mindrift, we bridge the gap between talented specialists and project-based opportunities in the AI sector for leading technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that this engagement is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in:Crafting innovative computational engineering tasks that replicate real-world engineering processes;Developing problems that necessitate Python programming for engineering calculations and simulations;Designing computationally intensive tasks requiring numerical methods or iterative solutions;Creating problems centered around system design, optimization, and analytical evaluations;Formulating challenges based on real research problems or practical engineering applications;Validating solutions using Python and standard engineering libraries;Providing clear documentation for problem statements along with verified correct answers.Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. We are particularly interested in candidates who possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming tools being a plus;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Project WorkflowApply → Successfully complete qualification(s) → Engage in a project → Fulfill assigned tasks → Receive compensationExpected CommitmentThe estimated workload for this project is approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimate and not a guaranteed number of hours.CompensationContributors can earn up to $31 per hour, depending on their experience and the pace of their contributions. Compensation may vary across different projects based on their complexity and required expertise.

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.

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

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

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 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.

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.

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.

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.

Mindrift brings together specialists and AI projects from leading technology companies, with a focus on practical applications of Generative AI. The team values real-world expertise and works globally to advance AI-driven solutions. Role overview This is a part-time, remote freelance role supporting the Tendem project (https://tendem.ai/). As an AI Workflow Engineer (also referred to as an AI Pilot), the work centers on developing automation systems that blend Large Language Models (LLMs) with human input. The main objective is to build scalable and dependable AI-powered workflows for content creation, communication, and automation tasks. What you will do Design and evaluate workflows that utilize LLM APIs, including OpenAI, Claude, Gemini, and others. Develop and enhance AI automation systems for generating content and managing communications. Create prompt frameworks to ensure consistent, high-quality results across workflows. Set up personalized automated outreach systems, such as email and messaging flows. Organize and preprocess data to support stable model performance and reliable outputs. Analyze and refine AI-driven pipelines to improve scalability, efficiency, and accuracy. Who succeeds in this role Candidates with direct experience in LLM integrations, prompt engineering, and building AI automation systems tend to do well. Structured thinking and attention to quality control are important, especially in an environment where AI and human collaboration are key. Location This freelance position is remote, based in Rome, Metropolitan City of Rome Capital, Italy.

Mindrift is hiring a Freelance Low-Code Automation Engineer to contribute to the Tendem project. This is a part-time, remote contract role based in Rome, Metropolitan City of Rome Capital, Italy. The position centers on building and improving automation workflows that blend AI and human input. Key responsibilities Create and enhance automation workflows for use in a hybrid AI-human environment Work closely with Tendem Agents to manage repetitive tasks and improve process efficiency Apply structured problem-solving and quality control to keep workflows reliable and scalable across different systems Utilize low-code automation platforms and JavaScript to tailor and optimize solutions Requirements Proven experience with low-code automation tools Strong skills in workflow architecture and process optimization Comfort with customizing automation using JavaScript Interest in flexible, remote freelance work The role involves working with the Tendem project team and using both technical and collaborative skills to streamline operations. For more about the project, visit https://tendem.ai/.

Mindrift is looking for a freelance DevOps Engineer to support automation systems for the Tendem project. This part-time role is remote, with a location base in Rome, Metropolitan City of Rome Capital, Italy. The project brings together AI and human workflows, requiring thoughtful infrastructure and reliable automation. Key Responsibilities Design and maintain scalable infrastructure that supports automation workflows in a hybrid AI and human environment. Collaborate with Tendem Agents to streamline and improve repetitive processes. Manage infrastructure with a focus on high reliability and strong performance. Help ensure the stability and growth of automation pipelines as the project expands. Who Succeeds in This Role Engineers with hands-on experience in cloud infrastructure and system deployment. Those who have managed high-load automation environments. People comfortable working remotely and contributing to AI-driven projects. Learn more about the project at https://tendem.ai/.

Role Overview Talan is looking for an SSR Power Apps + Python Developer in Rome. This position focuses on building solutions with Power Apps and Python that support digital transformation for clients. The work centers on improving business processes and user experiences through thoughtful application development.

everience seeks a Freelance Help Desk Technician based in Rome. This position serves as the first line of support for users, handling technical questions and resolving issues to keep daily operations running smoothly. Key responsibilities Troubleshoot hardware and software issues for users Assist with various applications and technical tools Respond promptly to technical inquiries as the initial support contact Help maintain uninterrupted IT support processes Role impact Effective support in this role directly improves user satisfaction and productivity. The technician’s ability to address technical challenges quickly helps foster a positive and reliable work environment for everyone relying on everience’s systems.

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 collaboration with experienced colleagues, working together to enhance the Mindrift platform. Key responsibilities Work on AI projects as part of the Mindrift platform team Apply strong Python programming skills to develop and improve technology solutions Collaborate with other professionals to advance Toloka's AI capabilities Requirements Background in computer science or a related field Proficiency in Python Ability to work effectively in a remote, collaborative environment