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How much do freelance python jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Freelance Python job?

A Freelance Python job involves working independently on projects that require Python programming skills. Freelancers typically handle tasks such as web development, data analysis, automation, machine learning, and scripting for clients. They may find work through freelance platforms, direct client outreach, or networking. This type of role offers flexibility in terms of workload and schedule, but also requires strong self-management and marketing skills to secure projects.

What are the key skills and qualifications needed to thrive in the Freelance Python position, and why are they important?

To thrive as a Freelance Python developer, you should have strong proficiency in Python programming, expertise in frameworks relevant to your focus area (such as Django, Flask, or data science libraries), and a solid understanding of software development practices. Familiarity with version control tools like Git, cloud platforms such as AWS or Azure, and optional certifications like the PCEP or PCAP can enhance your credibility. Excellent communication, time management, and self-motivation are vital soft skills to succeed independently and deliver client satisfaction. These abilities ensure you can manage diverse projects, meet deadlines, and build a reliable professional reputation in the competitive freelance market.

What types of projects do Freelance Python developers typically work on?

Freelance Python developers often tackle a wide range of projects, from building web applications and automation scripts to developing data analysis tools or working on machine learning models. Depending on your skills and interests, you may work with startups, established businesses, or individuals on short-term tasks or longer, ongoing projects. Typical responsibilities include writing clean, maintainable code, troubleshooting bugs, integrating APIs, and sometimes collaborating remotely with other developers, designers, or project managers. This variety allows you to continually expand your expertise and choose assignments that align with your career goals or preferred industries.
What cities are hiring for Freelance Python jobs? Cities with the most Freelance Python job openings:
What are the most commonly searched types of Python jobs? The most popular types of Python jobs are:
What states have the most Freelance Python jobs? States with the most job openings for Freelance Python jobs include:
Infographic showing various Freelance Python job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 9% Full Time, 56% Part Time, and 33% Contract. Highlights an 21% Physical, 26% Hybrid, and 53% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX โ€ข Remote

$45/hr

Part-time

Posted 4 days ago


Job description

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:

  • 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.

Requirements:

  • At least 5+ 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.
  • 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.
  • 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)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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 $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.