Qureos Mentor

Mindrift

<div>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 About The Role
 
 
 
 As a Procurement &amp; Supply Chain Expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigation strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance.
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Designing realistic supply chain disruption scenarios (e.g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts
 </li>
 <li>
 Defining expected outcomes and appropriate mitigation strategies for each scenario
 </li>
 <li>
 Evaluating AI-generated responses and recommendations against real-world business logic
 </li>
 <li>
 Assessing outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP))
 </li>
 <li>
 Contributing to structured data creation and validation tasks following defined guidelines and frameworks
 
 
 </li>
 </ul>
 What we look for
 
 
 <ul>
 <li>
 Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment
 </li>
 <li>
 Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning
 </li>
 <li>
 Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365
 </li>
 <li>
 Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches
 </li>
 <li>
 Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges
 </li>
 <li>
 Knowledge of Incoterms and transportation/logistics management
 </li>
 <li>
 Familiarity with BOM structures and production planning processes
 </li>
 <li>
 Experience with supplier performance metrics (OTIF, lead times, quality scores)
 </li>
 <li>
 Analytical mindset with the ability to assess AI outputs against real-world business logic
 </li>
 <li>
 Experience with data validation, structured data entry, or annotation tasks
 </li>
 <li>
 Clear written communication in English
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $60 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Freelance Supply Chain Consultant - AI Trainer

<div>
 
 Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
 </li>
 <li>
 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
 </li>
 <li>
 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
 </li>
 <li>
 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
 </li>
 <li>
 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $32 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 
 
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
 </li>
 <li>
 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
 <li>
 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
 </li>
 <li>
 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
 </li>
 <li>
 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
 </li>
 <li>
 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy
 </li>
 <li>
 Self-directed work ethic with ability to troubleshoot independently
 </li>
 <li>
 A link to GitHub is a plus
 </li>
 <li>
 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Work fully remote on your own schedule with just a laptop and stable internet connection.
 </li>
 <li>
 Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
 </li>
 <li>
 Participate in performance-based bonus programs that reward high-quality work and consistent delivery
 </li>
 </ul>
</div>

Freelance Data Scraping Engineer (Python)

<div>
 
 
 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 improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous Computer Science problems reflecting professional practice;
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints;
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic;
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems;
 </li>
 <li>
 Collaborate with a global community of PhDs to ensure the highest scientific integrity
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Computer Science or related fields.
 </li>
 <li>
 Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
 </li>
 <li>
 2+ years of professional experience: applied, research, or teaching experience is applicable.
 </li>
 <li>
 Strong written English (C1+)
 </li>
 <li>
 Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $80 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Computer Science Expert with Python Experience - AI Projects on Mindrift

<div>
 
 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 improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
 </li>
 <li>
 Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
 </li>
 <li>
 Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
 </li>
 <li>
 Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
 </li>
 <li>
 Design end-to-end problems spanning the complete data science pipeline (data ingestion &rarr; cleaning &rarr; EDA &rarr; modeling &rarr; validation &rarr; deployment considerations)
 </li>
 <li>
 Incorporate big data processing scenarios requiring scalable computational approaches
 </li>
 <li>
 Verify solutions using Python with standard data science libraries and statistical methods
 </li>
 <li>
 Document problem statements clearly with realistic business contexts and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 5+ years of hands-on data science experience with proven business impact
 </li>
 <li>
 Portfolio of completed projects and publications showcasing real-world problem-solving
 </li>
 <li>
 Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
 </li>
 <li>
 Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
 </li>
 <li>
 Expert with SQL and database operations for data manipulation and analysis
 </li>
 <li>
 Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
 </li>
 <li>
 Understanding of MLOps practices and model deployment workflows
 </li>
 <li>
 Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
 </li>
 <li>
 Strong written English (C1+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Freelance Data Science Engineer (Python & SQL)

Data Scientist (Python & SQL) - Freelance AI Trainer

<div>
 
 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 improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design original computational STEM problems that simulate real scientific workflows
 </li>
 <li>
 Create problems that require Python programming to solve
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
 </li>
 <li>
 Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 5+ years of hands-on machine learning experience with proven business impact
 </li>
 <li>
 Portfolio of completed projects and publications showcasing real-world problem-solving
 </li>
 <li>
 Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
 </li>
 <li>
 Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
 </li>
 <li>
 Expert with SQL and database operations for data manipulation and analysis
 </li>
 <li>
 Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
 </li>
 <li>
 Understanding of MLOps practices and model deployment workflows
 </li>
 <li>
 Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
 </li>
 <li>
 Strong written English (C1+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Freelance Machine Learning Engineer

Join Mindrift and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Mindrift

About Company

Freelance Supply Chain Consultant - AI Trainer

Freelance Data Scraping Engineer (Python)

Freelance Data Scraping Engineer (Python)

Computer Science Expert with Python Experience - AI Projects on Mindrift

Freelance Data Science Engineer (Python & SQL)

Data Scientist (Python & SQL) - Freelance AI Trainer

Freelance Machine Learning Engineer