Freelance AI Trainer Specialized in Statistics & Python

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 proj…

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 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 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

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.

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.

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.

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.

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.

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.

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/.

Mindrift is on the lookout for talented DevOps and Automation Engineers to contribute to the innovative Tendem project (tendem.ai). Your role will be pivotal in creating and managing scalable infrastructure that supports automation workflows in a dynamic hybrid AI and human-centric environment.As an AI Pilot, you will collaborate with Tendem Agents focused on repetitive tasks, while leveraging your infrastructure expertise to optimize system reliability and performance, ensuring robust and scalable automation pipelines.This part-time remote position is perfect for professionals with hands-on experience in cloud infrastructure, system deployment, and high-load automation environments.

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.

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

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.

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 indicate your English proficiency level. Mindrift connects specialists with project-based AI work for technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a project-based role, not a permanent position. Role overview This freelance AI Trainer (Research Physicist) role centers on designing and documenting advanced physics problems for AI training. Assignments vary but often involve: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational effort and cannot be solved quickly by hand Developing complex problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing scenarios on actual research challenges or practical situations in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years’ experience in applied research or teaching Experience with numerical simulation methods Ability to design problems that mirror real research processes Creativity in developing problems across multiple physics domains Familiarity with modeling and approximation techniques Strong written English (C1 level or above) Time commitment Plan for approximately 10–20 hours per week during active project periods. Actual workload may change depending on project needs. Compensation Earn up to $29 per hour, depending on expertise and pace. Pay rates may vary by project, based on scope, complexity, and required skills. Other projects on the platform may offer different earning potential. Application process Apply Complete qualification(s) Join a project Complete assigned tasks Receive payment