SQL Coding Specialist - Freelance AI Trainer

Join us as a SQL Coding Specialist and play a pivotal role in shaping the future of artificial intelligence! Are you an expert in SQL with a passion for coding and a desire to contribute to the development of advanced language models? These models are transforming from simple chatbots into dynamic tools for scientific innovation and education. By providing h…

Are you a coding aficionado looking to influence the evolution of AI? As large-scale language models transition from basic chatbots to robust tools for software development, automation, and technical education, your role becomes pivotal. By providing high-quality training data, we can empower AI to democratize programming knowledge, adapt to emerging technologies, and enhance workflows for developers globally. Your expertise is the key to unlocking the next generation of AI. We seek coding specialists who are passionate about computer science, software engineering, data structures, algorithms, databases, systems programming, and web development. You will engage with advanced language models on subjects such as object-oriented programming, version control with Git, RESTful API design, debugging techniques, data pipeline construction, and secure coding practices—carefully documenting all failure modes to strengthen model reasoning. On a typical day, you will interact with the model on practical coding scenarios and theoretical computer science questions, assess factual accuracy and logical coherence, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science or a related technical field is preferred; professional software development experience, contributions to open-source projects, technical blog writing, or achievements in programming competitions would be advantageous. Effective metacognitive communication—demonstrating your thought process—is essential. Ready to transform your coding skills into the foundational knowledge for tomorrow's AI? Apply now and help train the model that will educate the world.

Are you a coding aficionado with fluency in German, ready to influence the evolution of AI technology? As large-scale language models transition from simple chatbots to powerful tools for scientific innovation, your role will be pivotal in providing the high-quality training data essential for shaping the future of AI. This training data is the backbone of tomorrow’s AI, which aims to democratize top-tier education, align with groundbreaking research, and enhance software development for engineers globally. We are seeking passionate coding specialists who excel in algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming—all while confidently communicating in German. Your expertise will be challenged as you engage with advanced language models on critical topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. You will document every error encountered to reinforce model reasoning and enhance performance. In your daily activities, you will interact with the language model on various software engineering tasks and technical scenarios in German, ensuring logical accuracy and coding fluency. You will evaluate the naturalness and correctness of the German language usage, record reproducible error traces, and recommend improvements to prompt engineering and evaluation metrics. An ideal candidate would possess a bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical discipline. Real-world coding experience, technical writing proficiency in German, or contributions to open-source projects will be considered advantageous. The ability to communicate clearly and metacognitively—by “showing your work”—is crucial. Are you ready to leverage your coding and German language skills to contribute to the knowledge base for the next generation of AI? Apply now to start teaching the model that will educate the world!

Are you a Java coding aficionado ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to sophisticated engines of scientific discovery, your contribution is crucial. With your expertise in high-quality training data, you can help democratize world-class education, align with cutting-edge research, and enhance software development processes for engineers across the globe. We are seeking Java coding specialists who possess a deep understanding of algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming—all executed fluently in Java. You'll engage with advanced language models, tackling complex topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. Your role will also involve meticulously documenting every failure mode to strengthen model reasoning. On a regular day, you will interact with the model on software engineering tasks and technical scenarios utilizing Java. Your responsibilities will include verifying logical accuracy and coding fluency, assessing code quality and clarity, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. An ideal candidate will hold a Bachelor's, Master's, or PhD in computer science, software engineering, or a related technical field. Practical Java experience, technical writing skills, or contributions to open-source projects will be considered strong indicators of suitability. Effective, metacognitive communication—essentially “showing your work”—is a must. Are you ready to transform your Java coding skills into a foundational knowledge base for tomorrow’s AI? Apply now and start teaching the model that will educate the world!

Are you an accomplished C++ coding expert ready to influence the future of artificial intelligence? As large-scale language models advance from sophisticated chatbots to vital instruments of scientific innovation, your role becomes crucial. With quality training data, the AI of tomorrow can provide elite educational opportunities, keep up with the latest research, and enhance software development processes for engineers globally. Your expertise is essential in nurturing the next wave of AI.We are seeking C++ coding specialists who are passionate about algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming, and who can operate fluently in C++. You will engage with advanced language models on topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems, meticulously documenting each failure mode to strengthen the model's reasoning capabilities.On any given day, your responsibilities will involve interacting with the model on software engineering tasks and technical scenarios utilizing C++, verifying logical accuracy and coding fluency, assessing code quality and clarity, capturing reproducible error traces, and offering enhancements to our prompt engineering and evaluation metrics.A Bachelor's, Master's, or PhD in computer science, software engineering, or a closely related field is preferred; practical C++ experience, technical writing, or contributions to open-source projects will be seen as advantageous. Clear and reflective communication—demonstrating your thought process—is a key requirement.Are you ready to transform your C++ coding expertise into foundational knowledge for tomorrow’s AI? Apply now and start shaping the model that will educate the world.

Are you an expert in Bash coding eager to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to formidable tools for scientific advancement, your role becomes crucial in providing high-quality training data. This data will not only democratize education but also keep pace with innovative research and enhance software development across industries.We are seeking passionate Bash coding specialists who excel in algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming. Your expertise will be pivotal in challenging advanced language models on various topics including asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging complex distributed systems. Your documentation of failure modes will greatly contribute to strengthening model reasoning.On a typical day, you will engage with the model on software engineering tasks and technical challenges using Bash. You will verify logical accuracy, coding fluency, assess code quality, capture reproducible error traces, and provide recommendations to refine our prompt engineering and evaluation metrics.A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is preferred. Real-world Bash experience, coupled with skills in technical writing or contributions to open-source projects, are strong indicators of a good fit. Exceptional metacognitive communication—“showing your work”—is essential in this role.Are you ready to leverage your Bash coding skills to build the knowledge foundation for tomorrow’s AI? Apply now to start teaching the model that will enlighten the world.

Are you a skilled Python programmer passionate about influencing the future of AI? As large-scale language models transition from simple chatbots to significant tools for scientific exploration, we need your expertise to help create high-quality training data that can revolutionize education, advance research, and enhance software development across various industries.We are searching for Python coding specialists who excel in algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming. If you can fluently tackle these challenges using Python, we want to hear from you! Your responsibilities will include engaging with advanced language models on topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. You will document failures and suggest improvements to strengthen model reasoning.On a typical day, you will interact with the model on software engineering tasks and technical scenarios using Python. You will evaluate logical accuracy, coding fluency, code quality, and clarity; capture reproducible error traces; and propose enhancements to our prompt engineering and evaluation metrics.A Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field is preferred. Practical experience with Python, technical writing skills, or contributions to open-source projects will be considered favorable. Effective communication, including the ability to demonstrate your reasoning and thought processes, is essential.Are you ready to leverage your Python expertise to build the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world.

Are you a coding virtuoso with a passion for HTML, ready to influence the trajectory of artificial intelligence? As large-scale language models transition from simple chatbots to formidable tools for scientific exploration, your expertise in HTML will be pivotal in providing high-quality training data. This data will empower the next generation of AI to offer exceptional education, keep up with groundbreaking research, and enhance software development for engineers across the globe. We seek proficient HTML coding specialists who are not only well-versed in algorithms and data structures but also excel in software architecture, frontend and backend development, cloud infrastructure, and systems programming. While HTML proficiency is essential, a strong command of JavaScript and/or TypeScript is also required. You will engage with advanced language models on subjects such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems—diligently documenting every failure mode to enhance model reasoning. Your daily tasks will involve interacting with the model on software engineering challenges and technical scenarios using HTML, ensuring logical accuracy and coding fluency, assessing code quality, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is preferred. Hands-on HTML experience, technical writing skills, or contributions to open-source projects are strong indicators of a good fit. Exceptional metacognitive communication—demonstrating your thought process—is crucial. Are you prepared to leverage your HTML coding skills to create the knowledge base for tomorrow’s AI? Apply now and begin teaching the model that will educate the world.

Are you a coding aficionado with a deep understanding of JavaScript, ready to influence the trajectory of artificial intelligence? As large-scale language models transition from simple chatbots to advanced tools for scientific exploration, your role is crucial. By providing high-quality training data, you can help democratize access to world-class education, keep up with cutting-edge research, and enhance software development processes for engineers globally. Your expertise will be integral in powering the next generation of AI. We seek JavaScript experts who excel in algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming—all while expressing fluency in JavaScript. You'll engage with advanced language models on intricate topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. Your documentation of all failure modes will be essential in fortifying model reasoning. On a typical day, expect to engage with the model on software engineering tasks and technical scenarios, verifying coding fluency and logical accuracy, evaluating code quality and clarity, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A Bachelor's, Master's, or PhD in computer science, software engineering, or a closely related technical field is preferred; practical JavaScript experience, technical writing skills, or contributions to open-source projects will demonstrate your suitability. Clear and metacognitive communication—showing your work—is vital. Are you ready to transform your JavaScript expertise into foundational knowledge for tomorrow's AI? Apply now to begin teaching the model that will educate the world.

We invite you to submit your resume in English, specifying your level of English proficiency.At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Data Science AI Trainer, you will play a pivotal role in advancing GenAI models to tackle specialized questions and enhance complex reasoning skills. You will have the chance to collaborate on various unique projects.Your responsibilities may include:Crafting original computational data science challenges that replicate real-world analytical processes across sectors such as telecom, finance, government, e-commerce, and healthcare.Designing problems that require Python programming solutions (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensuring that the challenges are computationally demanding and cannot be solved manually within feasible timeframes (days/weeks).Creating scenarios necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements or employing fixed random seeds for exact results.Grounding challenges in actual business scenarios focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Integrating big data processing requirements that call for scalable computational strategies.Validating solutions through Python using standard data science libraries and statistical techniques.Clearly documenting problem statements within realistic business contexts and providing verified correct answers.Getting StartedTo join us, simply apply to this posting, meet the qualifications, and you can contribute to exciting projects that align with your skills, all while working on your own schedule. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

Are you a coding aficionado with a strong command of C#? Join us in revolutionizing the landscape of Artificial Intelligence! Large-scale language models are transitioning from simple chatbots to groundbreaking platforms for scientific exploration. By providing high-quality training data, we can enable future AI systems to deliver world-class education, keep up with cutting-edge research, and enhance software development for engineers globally. Your expertise is crucial in powering the next generation of AI.We are seeking C# coding specialists who are passionate about algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming. If you can demonstrate proficiency in C#, we want to hear from you! You will engage with advanced language models on topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging of distributed systems. Your role will involve documenting failure modes to strengthen model reasoning.On a typical day, you will interact with the model to tackle software engineering tasks and technical scenarios using C#. You will verify logical accuracy and coding fluency, evaluate code quality and clarity, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics.A bachelor’s, master’s, or PhD in computer science, software engineering, or a related technical discipline is preferred. Practical experience in C#, technical writing, or contributions to open-source projects will greatly enhance your candidacy. Strong metacognitive communication skills—essentially, the ability to “show your work”—are imperative.Are you ready to transform your C# coding skills into the foundational knowledge for tomorrow’s AI? Apply now and help educate the model that will empower the world.

Please submit your CV in English and mention your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for technology companies. The platform focuses on testing, evaluating, and improving AI systems. This is a project-based, non-permanent position. Role overview The Freelance Data Scientist (Python & SQL) - AI Trainer designs and validates data science challenges that mirror real-world analytics problems from fields like telecom, finance, government, e-commerce, and healthcare. Projects are remote and based in Iowa, United States. What you will do Create computational data science challenges based on genuine business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop problems that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive and cannot be solved by hand. Design tasks involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Produce deterministic problems with reproducible solutions, using fixed seeds or avoiding randomness. Build comprehensive challenges that cover the entire data science workflow, from data ingestion to deployment considerations. Include big data scenarios that require scalable solutions. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications showing real-world problem-solving abilities. Advanced Python skills for data science (including Pandas, Numpy, Scipy, Sklearn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithm applications. Proficiency in SQL and database operations for data analysis and manipulation. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps practices and deploying machine learning models. Understanding of frameworks such as TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

Please submit your CV in English and indicate your English proficiency level. Toloka AI, in partnership with Mindrift, offers project-based opportunities for experienced data science professionals. Assignments support technology companies by testing, evaluating, and refining AI systems. All work is temporary and structured around individual projects, not ongoing employment. Role overview This freelance position centers on creating and validating computational challenges that mirror real-world data science workflows. Projects span sectors including telecommunications, finance, government, e-commerce, and healthcare. Each challenge is designed to require advanced analytical thinking and practical coding skills. What you will do Develop original data science problems that simulate business scenarios such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design tasks that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive and may take significant time to solve. Cover the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing elements that require scalable solutions. Write deterministic, reproducible problems by avoiding randomness or using fixed seeds. Validate solutions in Python and document both the problem statements and correct answers clearly in a business context. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world solutions. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong foundation in statistical analysis and machine learning methods. Proficiency in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI tools and concepts, such as large language models, retrieval-augmented generation, prompt engineering, and vector databases. Understanding of MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to apply Submit your application. Complete the required qualifications. Join a project. Finish assigned tasks. Receive payment. Location: Remote , Virginia, United States Note: All roles are temporary and project-based.

About the Role Agency is looking for a Java Coding Specialist to support freelance AI training projects. This remote position welcomes applicants worldwide. The work focuses on Java programming tasks that help shape AI systems. What You Will Do Apply Java expertise to real-world AI training assignments Collaborate with a distributed team of professionals Contribute technical knowledge to ongoing projects Who Should Apply Experienced Java programmers Comfortable working independently Interested in freelance, remote work on AI initiatives Location This is a remote, freelance role open to candidates worldwide.

Toloka AI is seeking a Freelance AI Trainer with a strong background in both Biology and Python. This remote contract role is based in Wisconsin, United States. Role overview This position centers on creating and presenting training materials for AI projects. The main focus is on helping others understand biological concepts and Python programming as they relate to artificial intelligence work. What you will do Develop clear, effective training content covering biology and Python topics Deliver these materials to support AI project teams Communicate complex ideas in a way that is accessible and engaging Requirements Expertise in biology Strong knowledge of Python programming Ability to explain technical subjects clearly

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects experienced data scientists with AI training assignments for major technology clients. Projects focus on testing, evaluating, and improving AI systems. This is not a permanent employment position. Role overview The AI Training Specialist will design advanced computational data science challenges that mirror real-world analytical workflows. Scenarios span industries such as telecom, finance, government, e-commerce, and healthcare. Each challenge should require deep analytical thinking and practical coding skills. What you will do Create data science problems that require Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Develop computationally intensive tasks that cannot be solved manually in a few days or weeks. Formulate challenges involving complex data processing, statistical analysis, feature engineering, predictive modeling, and generating insights. Ensure all problems are deterministic, with replicable solutions and fixed random seeds. Base scenarios on business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science pipeline, from data ingestion to deployment considerations. Include tasks that require scalable computational approaches and big data processing. Validate solutions using standard Python data science libraries and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of projects or publications demonstrating real-world problem-solving. Advanced Python skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, including practical applications and algorithms. Expertise in SQL and database management for data manipulation and analysis. Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English at C1 level or above. Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment This contract is remote and open to candidates based in Wisconsin, United States.

Mindrift is hiring freelance n8n Workflow Developers to support the Tendem project (https://tendem.ai/). This remote, part-time contract role is open to candidates based in the United States. About the Role As an AI Pilot at Mindrift, the focus is on designing and improving automation workflows within a hybrid AI and human system. The work involves collaborating with Tendem Agents to streamline repetitive tasks, applying structured thinking and automation skills to ensure workflows run smoothly. This position suits professionals with a background in no-code automation, workflow design, and process optimization across different business systems. What You'll Do Design, build, and evaluate advanced workflows in self-hosted n8n environments. Integrate multiple systems to create scalable automation pipelines. Develop and refine AI-powered workflows, including content generation, automation, and enrichment systems. Set up and maintain automation for lead generation, outreach, and data processing. Implement web scraping workflows for reliable data extraction and processing. Optimize workflow execution, node sequencing, and error handling to reduce failures, delays, and API timeouts. About Mindrift Mindrift connects specialists with high-impact AI projects from leading technology innovators. The company aims to expand the potential of Generative AI by bringing in real-world expertise from professionals worldwide. Compensation Freelancers on this project can earn up to $60 per hour, depending on experience and contribution rate. Compensation may differ between projects based on complexity and required skill level.

To apply, please submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Opportunity Overview:While each project presents unique challenges, contributors may be tasked with:Creating original computational physics problems that reflect genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally intensive and require significant time to solve (days/weeks);Designing complex problems involving reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications from the field of physics;Verifying solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing validated answers.Ideal Candidate Profile:This position is suited for physicists experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that accurately represent real physics research workflows;Creative problem-solving skills across various physics domains;A solid understanding of physics modeling and approximation techniques;Strong written English skills (C1+ level).Application Process:Submit your application → Pass the required qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $76 per hour, varying based on their contribution level and pace. Compensation can differ across projects depending on scope, complexity, and required expertise. Note that other projects may offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English, highlighting your English proficiency level.Mindrift collaborates with talented professionals to connect them with project-based AI opportunities in leading tech firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Key Responsibilities:Craft original computational statistics challenges that emulate real-world mathematical research workflows.Develop problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.Ensure challenges are computationally demanding, requiring extended timeframes to solve manually (days/weeks).Formulate problems that necessitate complex reasoning chains within domains like number theory, combinatorics, graph theory, and numerical analysis.Base issues on authentic research obstacles or practical applications from mathematical fields.Validate solutions through Python, using standard mathematical libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate Profile:A degree in Statistics or a related area.Proficient in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable.At least 2 years of relevant professional experience in applied research or teaching.Strong command of written English (C1 or higher).Holding professional certifications (e.g., CMME, SAS Certification, CAP) and experience with international or applied projects is advantageous.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $73 per hour, contingent upon their contribution level and pace. Compensation varies across projects based on their scope, complexity, and required expertise; other projects may offer different earning potential based on their specific requirements.

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Position OverviewEach project will present unique challenges, and contributors may:Develop original computational statistics problems that reflect authentic mathematical research workflows;Craft problems necessitating Python programming to solve (utilizing libraries like Numpy, SciPy, Sympy);Ensure that problems are computationally intensive, requiring significant timeframes (days/weeks) to solve manually;Create problems that involve complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis;Base problems on genuine research challenges or practical applications from the mathematical domain;Validate solutions using Python with established mathematical libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is well-suited for statistics experts with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation; expertise in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching experience;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewTo participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project CommitmentFor this project, contributors should expect to commit approximately 10–20 hours per week during active phases, based on project needs. Note that this is an estimate and not a guaranteed workload while the project is ongoing.CompensationContributors can earn up to $73 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required skill set. It is important to note that other projects on this platform may offer differing earning levels.