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Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

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 ...

Toloka Annotators

$23/hr

At Toloka, we connect smart, curious people from around the world with freelance online tasks that ... Carefully review provided data (text, images, or videos) * Label or classify content based on ...

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As of May 29, 2026, the average hourly pay for freelance data in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst, and why are they important?

To thrive as a Freelance Data Analyst, you need strong analytical skills, proficiency with data manipulation, and a background in statistics or a related field, often supported by a degree or relevant work experience. Familiarity with tools like Excel, SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent communication, time management, and client relationship skills help you stand out when managing multiple projects independently. These abilities are crucial for delivering actionable insights, meeting client expectations, and building a successful freelance business.

How do freelance data professionals typically manage multiple client projects and deadlines?

Freelance data professionals often juggle several projects simultaneously, requiring strong organizational and time management skills. They usually use project management tools and clear communication to set expectations with clients regarding deliverables and timelines. Prioritizing tasks, setting realistic deadlines, and maintaining transparent updates with clients help freelancers avoid overcommitment and ensure high-quality work. Building routines and occasionally collaborating with other freelancers or subcontractors can also help distribute the workload effectively.

What is a Freelance Data Analyst?

A Freelance Data Analyst is an independent professional who works on a contract basis to help organizations collect, process, and interpret data. They analyze data sets to uncover trends, generate insights, and support decision-making without being tied to a single employer. Freelance Data Analysts often work with multiple clients, offering flexibility and a wide range of experience across industries. Their responsibilities can include data cleaning, visualization, reporting, and sometimes creating predictive models. This role is ideal for those who enjoy working independently and have strong analytical and technical skills.

What is the difference between Freelance Data vs Data Analyst?

AspectFreelance DataData Analyst
CredentialsVaries; often self-taught or with online coursesTypically requires a degree in data science, statistics, or related fields
Work EnvironmentRemote, flexible, project-basedUsually in an office or corporate setting, but can be remote
Employer & Industry UsageClients across various industries, independentOrganizations, companies, or departments within industries
Common Search & ComparisonFreelance Data vs Data Analyst

Freelance Data professionals often work independently on diverse projects, with flexible credentials and remote work setups. Data Analysts typically have formal education and work within organizations, focusing on analyzing data to inform business decisions. Both roles involve data handling but differ mainly in employment structure and credentials.

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Freelance Data Scraping Engineer (Python)

Mindrift

Remote

$37/hr

Part-time

Posted 16 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.

Apply