Qureos Mentor

Mindrift

<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
 
 $37 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 original computational physics problems that simulate real physics research workflows;
 </li>
 <li>
 Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
 </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 mechanics, electromagnetism, thermodynamics, and quantum mechanics;
 </li>
 <li>
 Base problems on real research challenges or practical applications from physics practice;
 </li>
 <li>
 Verify solutions using Python with standard physics simulation libraries;
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Physics (Theoretical, Experimental, or Computational) 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>
 Experience with numerical simulation methods;
 </li>
 <li>
 Ability to design problems that mirror real physics research workflows;
 </li>
 <li>
 Creative thinking in problem design across diverse physics areas;
 </li>
 <li>
 Familiarity with physics modeling and approximation techniques;
 </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
 
 $76 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>

Quantum Research Scientist with Python - 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

<div>
 
 
 Please submit your resume 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 isproject-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 As an AI Trainer - Junior Journalist, your work will help train AI models, shaping how they understand and generate human-like text. This isn't just traditional writing&mdash;you'll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Craft original, clear, and fact-checked responses based on project guidelines.
 </li>
 <li>
 Generate prompts that challenge AI.
 </li>
 <li>
 Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers.
 </li>
 <li>
 Follow style and quality standards to ensure consistency
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Bachelor's degree in Journalism, Communications, Linguistics, Literature, or Education to ensure a strong understanding of grammar and stylistic features;
 </li>
 <li>
 At least 1 year of professional experience in Journalism, Communications, PR, etc., with strong skills in critical thinking and working with text in English language;
 </li>
 <li>
 Strong written English (C1/C2);
 </li>
 <li>
 Stable internet connection.
 
 
 </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
 
 $30 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 Junior Journalist - 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 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)

<div>
 Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
 
 
 Mindrift, powered by Toloka &mdash; a leading enterprise AI and machine learning data partner since 2014 &mdash; connects top domain experts with cutting-edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
 
 
 We are launching a
 
 Management Consulting domain
 
 focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling
 
 a team of strategy consultants from top-tier firms
 
 who can convert authentic project experience into end-to-end examples &mdash; from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
 
 
 You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
 
 
 
 Important:
 
 This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
 
 
 
 Eligible firms:
 
 McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).
 
 
 
 Who We're Looking For
 
 
 
 Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
 
 
 <ul>
 <li>
 Structuring ambiguous client problems into workable analytical plans
 </li>
 <li>
 Building financial models, market analyses, or synthesized findings from messy inputs
 </li>
 <li>
 Producing client-ready deliverables under time pressure
 </li>
 <li>
 Forming and defending recommendations under uncertainty
 
 
 </li>
 </ul>
 No deep technical background is required &mdash; we will onboard you on the lightweight tools involved.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build realistic consulting project environments &mdash; create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information
 </li>
 <li>
 Design structured consulting tasks for AI agents &mdash; break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more
 </li>
 <li>
 Define evaluation criteria and quality standards &mdash; develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale
 
 
 </li>
 </ul>
 This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
 
 
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp;
 </li>
 <li>
 Strong structured problem-solving and hypothesis-driven thinking
 </li>
 <li>
 Ability to translate vague problems into clear analytical steps and deliverables
 </li>
 <li>
 High attention to logical consistency and output quality
 </li>
 <li>
 Independent, self-directed working style
 </li>
 <li>
 Clear written English (B2+)
 
 
 </li>
 </ul>
 
 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>

Senior Consultant - AI Training & Evaluation (MBB & Top-Tier Firms)

Join Mindrift and explore 8   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 Data Scraping Engineer (Python)

Quantum Research Scientist with Python - Freelance AI Trainer

Quantum Research Scientist with Python - Freelance AI Trainer

Freelance Machine Learning Engineer

Freelance Junior Journalist - AI Trainer

Freelance Data Science Engineer (Python & SQL)

Senior Consultant - AI Training & Evaluation (MBB & Top-Tier Firms)