Freelance Data Scraping Engineer (Python)

Remote from: Romania
Salary, yearly, USD: 80,000
Department: Software Engineering
Employment type: Full Time,
Job posted: 2 Jun 2026
Apply before: 2 Jul 2026
Experience level: Midweight
Views / Applies: 14 / 2

Mindrift connects AI experts and clients to advance Generative AI models.

Actively Hiring

AI Summary

Mindrift is seeking a freelance Python Data Scraping Engineer for its Tendem project, which combines AI agents with human expertise. The role involves end-to-end data extraction from complex websites, using tools like Apify and OpenRouter, while ensuring data quality and scalability. This part-time remote position requires at least 3 years of experience in web scraping and Python. Compensation is up to $40 per hour, with a yearly equivalent of $83,200 based on the provided salary range. The role offers flexible scheduling and performance-based bonuses.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires advanced technical skills in web scraping, handling dynamic content, and data quality, but it is freelance and self-directed, making it challenging but not extreme.

Salary Analysis

AI Insight The offered salary of up to $83,200 per year is competitive for a freelance data scraping role, though it sits at the lower end of the US market range for similar positions. The market typically pays between $70,000 and $130,000, so this role offers a fair rate for part-time remote work with flexibility.

Key Skills

Python Web Scraping BeautifulSoup Selenium Data Extraction Data Quality Apify OpenRouter LLMs Automation

Cover Letter Sample

I am writing to express my interest in the Freelance Data Scraping Engineer position at Mindrift. With over 3 years of experience in Python web scraping, I have developed expertise in extracting data from complex websites using tools like BeautifulSoup and Selenium. I am particularly drawn to the hybrid AI + human approach of the Tendem project, as it aligns with my skills in automation and data quality.

In my previous roles, I have successfully delivered structured datasets from dynamic content, including JavaScript-rendered pages and APIs. I am comfortable working independently and troubleshooting technical challenges. I am confident that my experience with LLMs and AI frameworks will allow me to contribute effectively to your team.

I am eager to bring my technical precision and self-directed work ethic to Mindrift. Thank you for considering my application.

Possible Interview Questions

Can you describe your experience with web scraping from dynamic websites that use JavaScript rendering?

I have extensive experience using Selenium and Playwright to scrape dynamic content. For example, I once scraped a site with infinite scroll and AJAX-loaded content by simulating user interactions and waiting for elements to load. I also use headless browsers and proxy rotation to avoid detection.

How do you ensure data quality and consistency when scraping large datasets?

I implement validation checks at each stage, such as schema validation, duplicate detection, and cross-referencing with known data. I use Python libraries like Pandas for cleaning and normalization. For large datasets, I set up automated alerts for anomalies and maintain logs for auditing.

What is your approach to handling anti-scraping measures like CAPTCHAs or IP blocking?

I use rotating proxies, user-agent rotation, and request delays to mimic human behavior. For CAPTCHAs, I integrate with services like 2Captcha or use AI-based solvers. I also design the scraping logic to be resilient by retrying with backoff and using session management.

Can you explain how you would use LLMs to enhance a scraping workflow?

LLMs can be used to parse unstructured data, generate XPath or CSS selectors from descriptions, or validate extracted data against natural language rules. For example, I could use an LLM to extract specific fields from product descriptions or to verify that scraped prices match the expected format.

Describe a time when you had to adapt your scraping approach due to a website change. How did you handle it?

Once, a target site changed its HTML structure, breaking my scraper. I set up monitoring to detect failures quickly. I then analyzed the new structure using browser dev tools and updated the selectors. I also implemented a fallback using fuzzy matching to handle minor changes automatically.

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

Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation

On this project, contributors can earn up to $40 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

At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
Strong attention to detail and commitment to data accuracy.
Self-directed work ethic with ability to troubleshoot independently.
A link to GitHub is a plus.
English proficiency: Upper-intermediate (B2) or above (required).

Benefits

Why this freelance opportunity might be a great fit for you?

Work fully remote on your own schedule with just a laptop and stable internet connection.
Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.
Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply now >