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Part Time Data Extraction Jobs (NOW HIRING)

Part-Time AP Process Automation Tester Walker, MI (Onsite) $24-26/hour 20 hours/week (approx. 4 ... Validate invoice processing, ensuring accurate data extraction and completion * Confirm invoices ...

Part-Time AP Process Automation Tester Walker, MI (Onsite) $24-26/hour 20 hours/week (approx. 4 ... Validate invoice processing, ensuring accurate data extraction and completion * Confirm invoices ...

Part-Time AP Process Automation Tester Walker, MI (Onsite) $24-26/hour 20 hours/week (approx. 4 ... Validate invoice processing, ensuring accurate data extraction and completion * Confirm invoices ...

Part-Time AP Process Automation Tester Walker, MI (Onsite) $24-26/hour 20 hours/week (approx. 4 ... Validate invoice processing, ensuring accurate data extraction and completion * Confirm invoices ...

Part-Time AP Process Automation Tester Walker, MI (Onsite) $24-26/hour 20 hours/week (approx. 4 ... Validate invoice processing, ensuring accurate data extraction and completion * Confirm invoices ...

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Part Time Data Extraction information

What is the difference between Part Time Data Extraction vs Part Time Data Entry?

AspectPart Time Data ExtractionPart Time Data Entry
Required CredentialsBasic computer skills, familiarity with data extraction toolsBasic computer skills, proficiency in data input software
Work EnvironmentRemote or office-based, often involves web scraping or data collectionPrimarily office or remote, involves inputting data into systems
Employer & Industry UsageUsed in research, market analysis, and data collection projectsCommon in administrative, clerical, and business operations
Search & Comparison IntentUnderstanding differences in data-related roles for project suitabilityClarifying job functions for administrative or data management tasks

Part Time Data Extraction focuses on retrieving data from various sources, often requiring specific tools and web skills. Part Time Data Entry involves inputting data into systems, emphasizing accuracy and speed. Both roles share basic computer skills but serve different purposes within data management.

More about Part Time Data Extraction jobs
What cities are hiring for Part Time Data Extraction jobs? Cities with the most Part Time Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Part Time Data Extraction jobs? States with the most job openings for Part Time Data Extraction jobs include:
Infographic showing various Part Time Data Extraction job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 100% Physical job distribution.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY โ€ข On-site, Remote

$37/hr

Part-time

Posted 17 days ago


Job description

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 $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
  • 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.