Qureos Mentor

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:
 
 
 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
 
 
 You'll create challenging tasks and evaluation criteria within realistic simulated environments:
 
 
 <ul>
 <li>
 Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
 </li>
 <li>
 Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
 </li>
 <li>
 Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
 </li>
 <li>
 Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust
 
 
 </li>
 </ul>
 
 What this is NOT:
 
 
 
 <ul>
 <li>
 Not data labeling
 </li>
 <li>
 Not prompt engineering
 </li>
 <li>
 Not writing code from scratch - the agent writes most of the code; you guide and evaluate
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 <ul>
 <li>
 8+ years in software development
 </li>
 <li>
 Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
 </li>
 <li>
 Experience writing tests (functional, integration)
 </li>
 <li>
 English proficiency - B2+
 
 
 </li>
 </ul>
 
 Why this is hard:
 
 
 
 Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paidEffort estimate
 
 
 Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
 
 
 
 Compensation:
 
 
 
 Up to
 
 $200/hr equivalent
 
 , depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.
</div>

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

<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
 
 
 
 Frontier coding agents are already good at passing tests. We measure whether they pass them
 
 the right way
 
 .We're building a dataset to evaluate the safety and conduct of AI coding agents &mdash; not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:
 
 
 <ul>
 <li>
 Build realistic developer environments &mdash; a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
 </li>
 <li>
 Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes
 </li>
 <li>
 Write tests that verify whether the agent completed the task the right way &mdash; catching corners cut, not just checking outputs
 </li>
 <li>
 Iterate on tasks and tests based on QA feedback &mdash; review agent solutions, analyze failures, and refine until the evaluation is fair and robust
 
 
 </li>
 </ul>
 What this is
 
 NOT:
 
 
 
 <ul>
 <li>
 Not data labeling;
 </li>
 <li>
 Not prompt engineering;
 </li>
 <li>
 Not cybersecurity or red-teaming &mdash; there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;
 </li>
 <li>
 Not writing code from scratch &mdash; the agent writes most of the code; you design the situation and evaluate the outcome;
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 4-5+ years in software development;
 </li>
 <li>
 Core stack: Python, JavaScript/TypeScript;
 </li>
 <li>
 Strong test design skills &mdash; functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;
 </li>
 <li>
 Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);
 </li>
 <li>
 Familiarity with GitHub PRs and CI workflows as a user;
 </li>
 <li>
 Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful &mdash; but you don't need to be an expert in every layer;
 </li>
 <li>
 English proficiency &mdash; B2+
 
 
 </li>
 </ul>
 
 Why this is hard
 
 
 
 Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the
 
 temptation
 
 &mdash; a scenario where the unsafe or out-of-scope path is the path of least resistance &mdash; and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.
 
 
 
 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 20-25 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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $75 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>

Python Engineer - Freelance AI Trainer

<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.
 
 
 For this project, tasks are estimated to require
 
 around 25-30 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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
</div>

Ex-MBB Strategy Consultant - AI Training (Remote)

<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 and evaluate fee inquiry and statement clarification scenarios &mdash; verifying that fee amounts match disclosed schedules and distinguishing descriptor-mapping questions from real fraud claims;
 </li>
 <li>
 Create autopay and payment setup scenarios with deliberate traps: incorrect payee, insufficient-funds policy, wrong draft date, or missing confirmation steps;
 </li>
 <li>
 Build card replacement and fraud claim scenarios testing card-block urgency, fraud-signal recognition, intake information capture, and clean handoff to the disputes team;
 </li>
 <li>
 Author account closure scenarios testing retention-offer eligibility logic, pending-transaction checks, and refusal to extend offers to ineligible customers;
 </li>
 <li>
 Grade responses on both factual accuracy and conversational tone: empathy under pressure, channel-appropriate register (voice vs. chat), and clarity without over-promising
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for professionals with a background in customer service, banking, or financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Finance, Business Administration, Economics, Communications, Psychology, Marketing, or any related field;
 </li>
 <li>
 2+ years of customer service, banking, retail, or financial services experience;
 </li>
 <li>
 Current or recent experience in customer service &amp; support, or banking &amp; financial roles, or adjacent roles;
 </li>
 <li>
 Routing judgment &mdash; clear instinct for what is and isn't servicing's scope, and ability to read a fee schedule or policy document to identify which rule applies to a specific situation;
 </li>
 <li>
 QA analyst, call-center trainer, or conversation designer background is a strong positive signal;
 </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
 
 $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>

Customer Support Specialist - Freelance AI Trainer

<div>
 
 Mindrift is looking for highly skilled Senior 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.
 
 
 This is a freelance role for a Tendem project. As a
 
 Senior 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>
 
 Requirements:
 
 
 
 <ul>
 <li>
 At least 5+ years 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>
 Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential
 </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>
 Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
 </li>
 <li>
 Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
 </li>
 <li>
 Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
 </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>
 
 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
 
 $45 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 Python Data Scraping Engineer (Freelance)

Join Mindrift and explore 19   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

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Python Engineer - Freelance AI Trainer

Python Engineer - Freelance AI Trainer

Ex-MBB Strategy Consultant - AI Training (Remote)

Ex-MBB Strategy Consultant - AI Training (Remote)

Customer Support Specialist - Freelance AI Trainer

Senior Python Data Scraping Engineer (Freelance)