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Freelance Data Science Internships Jobs (NOW HIRING)

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

Data Science Engineer

Austin, TX ยท Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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Freelance Data Science Internships information

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How much do freelance data science internships jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for freelance data science internships 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 is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this rule to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is 30 too late for data science?

Age is not a barrier to pursuing a data science internship; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively for internships.

What is the difference between Freelance Data Science Internships vs Data Science Interns?

AspectFreelance Data Science InternshipsData Science Interns
Work EnvironmentRemote or flexible, project-basedTypically in-office or remote, structured internship programs
CredentialsOften students or early-career, no formal certification requiredStudents or recent graduates, may have coursework or certifications
Employer & Industry UsageFreelance platforms, startups, consulting firmsCompanies, universities, tech firms offering structured internships
Search & Comparison IntentLooking for flexible, project-based opportunitiesSeeking structured internship programs for experience

Freelance Data Science Internships offer flexible, project-based work often found on freelance platforms, suitable for early-career individuals seeking diverse experiences. Data Science Interns typically participate in structured programs within companies or universities, focusing on gaining industry-specific skills through formal internships.

Can I do freelancing in data science?

Freelance data science internships are available for individuals with skills in programming, statistics, and data analysis tools like Python or R. These internships often involve project-based work, flexible schedules, and remote collaboration, making freelancing a viable option for gaining experience and building a portfolio.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work in high-paying industries or senior roles. Such salaries are typically seen in senior positions, management, or specialized fields within technology and finance. Entry-level or mid-career data scientists usually earn less, but salary growth is common with skill development and experience.
More about Freelance Data Science Internships jobs
What cities are hiring for Freelance Data Science Internships jobs? Cities with the most Freelance Data Science Internships job openings:
What are the most commonly searched types of Data Science Internships jobs? The most popular types of Data Science Internships jobs are:
What states have the most Freelance Data Science Internships jobs? States with the most job openings for Freelance Data Science Internships jobs include:
Infographic showing various Freelance Data Science Internships job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Houston, TX โ€ข Remote

$37/hr

Part-time

Posted 2 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 toย $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.