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What is a part time remote computer science job?

Part time remote computer science jobs are positions that allow professionals to work less than full-time hours, typically from a location outside of a traditional office, such as their home. These roles can include tasks like software development, data analysis, technical support, or teaching computer science online. They offer flexibility in scheduling and location, making them ideal for students, parents, or anyone needing a non-traditional work arrangement. Employers often require a strong understanding of computer science concepts and relevant technical skills. Communication and self-motivation are also important for success in remote roles.

What are the key skills and qualifications needed to thrive as a part time remote computer science professional?

To thrive as a Part Time Remote Computer Science professional, you need a solid grasp of programming languages, problem-solving skills, and a relevant degree or coursework in computer science or a related field. Familiarity with tools like Git, cloud platforms, and remote collaboration software, as well as knowledge of frameworks or databases relevant to the specific role, is important. Strong time management, self-motivation, and effective communication are essential soft skills for remote work success. These abilities ensure productivity, high-quality technical output, and seamless collaboration with distributed teams.

How do part time remote computer science professionals typically collaborate with their teams despite working offsite?

Part-time remote computer science professionals often collaborate with their teams using digital tools like Slack, Zoom, or project management platforms such as Jira or Trello. Regular virtual meetings, clear documentation, and frequent updates are key to maintaining effective communication and project alignment. Many teams also implement agile methodologies to coordinate tasks and ensure that everyone is aware of project progress and deadlines. This remote setup allows for flexibility, but it also requires proactive communication and strong self-management skills to stay connected and productive.

What are the most commonly searched types of Remote Computer Science jobs in Texas?

The most popular types of Remote Computer Science jobs in Texas are:

What are popular job titles related to Part Time Remote Computer Science jobs in Texas?

For Part Time Remote Computer Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Computer Science jobs in Texas look for?

The top searched job categories for Part Time Remote Computer Science jobs in Texas are:

Part Time Remote Computer Science jobs near you
Infographic showing various Part Time Remote Computer Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Freelance Data Scraping Engineer (Python)

Mindrift

Houston, TX • Remote

$37/hr

Part-time

Re-posted 12 days ago

Job description

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.

In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches. 

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and 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.

Educational qualifications

  • At least 3+ years 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.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • 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)

Additional requirements

  • 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)

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 $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.

Apply