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Freelance Python Web Scraping Jobs in Washington

10a Labs

Engineering Fellowship

Washington, DC · On-site

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Staffed4U

Data Engineer

Chantilly, VA

$118K - $142K/yr

... using Python and SQL. * Integrate data from a variety of structured and unstructured sources ... Develop and maintain web scraping and data ingestion workflows to collect and process open-source ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Institute for Justice

Senior Research Analyst

Arlington, VA · On-site

$133K - $134K/yr

Strong skills with statistical software such as Stata; proficiency with Python, R, or GIS is ... web scraping, document review, or other means) and use of datasets from government or non ...

Institute for Justice

Senior Research Analyst

Arlington, VA · On-site

$133K - $134K/yr

Strong skills with statistical software such as Stata; proficiency with Python, R, or GIS is ... web scraping, document review, or other means) and use of datasets from government or non ...

Trustible

Senior Software Engineer

Arlington, VA · On-site

$140K - $185K/yr

... scraping information about AI models from the web. You will help build flexible internal ... Design, build, and ship full-stack features across a Django/Python backend and React frontend, from ...

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Freelance Python Web Scraping information

What is the difference between Freelance Python Web Scraping vs Freelance Data Analyst?

AspectFreelance Python Web ScrapingFreelance Data Analyst
Skills & CredentialsPython, web scraping libraries, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, project-based, client-specificRemote or on-site, consulting or project-based
Industry UsageWeb data extraction for research, marketing, or business insightsData interpretation, reporting, and strategic recommendations

Freelance Python Web Scraping focuses on extracting data from websites using Python, while Freelance Data Analysts interpret and analyze data to provide insights. Both roles often work remotely and require technical skills, but their core functions differ: one is data collection, the other is data analysis.

What are some common challenges faced by freelance Python web scraping professionals, and how can they be addressed?

Freelance Python web scraping professionals often encounter challenges such as dealing with websites that have anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To address these issues, it's important to stay updated with the latest scraping libraries and techniques, utilize rotating proxies and user-agent strings, and write modular code that can be easily adapted when websites update their layouts. Additionally, maintaining clear communication with clients about legal considerations and project scope helps set realistic expectations and ensures a smooth workflow.

What is freelance Python web scraping?

Freelance Python web scraping involves using the Python programming language to extract data from websites on a project or contract basis, rather than as a full-time employee. Freelancers in this field use libraries like BeautifulSoup, Scrapy, or Selenium to gather, parse, and organize data from various web sources according to client needs. Projects can range from collecting product prices, aggregating news articles, monitoring social media trends, or compiling research datasets. Freelance web scrapers must ensure they comply with relevant legal and ethical guidelines, as well as website terms of service. The work requires technical proficiency, problem-solving skills, and clear communication with clients.

What are the key skills and qualifications needed to thrive as a Freelance Python Web Scraping specialist, and why are they important?

To thrive as a Freelance Python Web Scraping specialist, you need strong programming skills in Python, a deep understanding of web protocols, and knowledge of data extraction techniques. Familiarity with libraries like BeautifulSoup, Scrapy, Selenium, and experience using APIs, along with basic knowledge of version control systems like Git, is typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing client requirements and navigating technical challenges. These skills ensure efficient, ethical, and accurate data extraction, which is vital for delivering reliable results to clients.
What are the most commonly searched types of Python Web Scraping jobs in Washington? The most popular types of Python Web Scraping jobs in Washington are:
What are popular job titles related to Freelance Python Web Scraping jobs in Washington? For Freelance Python Web Scraping jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Freelance Python Web Scraping jobs in Washington look for? The top searched job categories for Freelance Python Web Scraping jobs in Washington are:
What cities in Washington are hiring for Freelance Python Web Scraping jobs? Cities in Washington with the most Freelance Python Web Scraping job openings:
Freelance Python Web Scraping jobs near you
Infographic showing various Freelance Python Web Scraping job openings in Washington as of June 2026, with employment types broken down into 67% Full Time, 26% Part Time, and 7% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

Engineering Fellowship

10a Labs

Washington, DC • On-site

Full-time

Posted 27 days ago

Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
About the role: As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle - from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building cloud infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights.
Fellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.
In this role, you will:
  • Collaborate with engineers on real projects, including client-facing products and in-house tooling;
  • Assist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems;
  • Ideate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and
  • Support other critical initiatives.

Software Engineering concentration responsibilities may include:
  • Implementing cloud infrastructure for deploying machine learning models;
  • Writing high-coverage test suites for complex codebases; and
  • Guiding project development with software engineering best practices, including version control, continuous integration, and design patterns.

Data Engineering concentration responsibilities may include:
  • Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets;
  • Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and
  • Developing front-end dashboards and other visualizations.

Machine Learning concentration responsibilities may include:
  • Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;
  • Building agentic systems for automated prompting, red-teaming, research, and rapid experimentation;
  • Supporting projects with specialized knowledge of frontier model architectures and cutting-edge technology.

We're looking for someone who:
  • Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration;
  • Thrives in collaborative, interdisciplinary environments; is resourceful, proactive, and adaptable;
  • Is comfortable communicating technical ideas clearly to both technical and non-technical audiences; and
  • Is excited about contributing to real-world applications and exploring new methods that push beyond standard benchmarks.

Requirements:
  • Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience
  • Strong Python background
  • Clear communicator of technical concepts for non-technical audiences

Nice to have:
  • Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)
  • Experience managing full lifecycle projects from design to deployment

Software Engineering:
    • Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring
    • Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
    • Knowledge of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies

Data Engineering:
    • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)

Machine Learning Engineering:
    • Computer vision skills (OCR, image classification, deep fake detection)
    • Familiarity with multimodal learning (text-image or text-audio) or cross-domain model evaluation
    • Exposure to MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
    • Understanding of modern retrieval-augmented generation (RAG), AI agent frameworks, and context-aware orchestration (e.g., LangChain, LlamaIndex, OpenAI Agents, or AutoGen) for building intelligent applications

Benefits:
  • Flexible start / end dates
  • Remote work (based in the continentalU.S.)
  • Flexible schedule, up to 20 hours per week (negotiable)
  • Hourly pay commensurate with experience and qualifications
    • $30 per hour for undergraduate students
    • $35 per hour for graduate students
    • $50 per hour for advanced PhD students
    • $60 per hour for postdocs or non-tenured positions
    • $125 per hour for tenure-track academics

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