2

Part Time Data Extraction Jobs (NOW HIRING)

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 ...

ETL Data Engineer

Mclean, VA ยท On-site +1

$62K - $141K/yr

Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling ...

Showing results 21-40

Part Time Data Extraction information

What is the difference between Part Time Data Extraction vs Part Time Data Entry?

AspectPart Time Data ExtractionPart Time Data Entry
Required CredentialsBasic computer skills, familiarity with data extraction toolsBasic computer skills, proficiency in data input software
Work EnvironmentRemote or office-based, often involves web scraping or data collectionPrimarily office or remote, involves inputting data into systems
Employer & Industry UsageUsed in research, market analysis, and data collection projectsCommon in administrative, clerical, and business operations
Search & Comparison IntentUnderstanding differences in data-related roles for project suitabilityClarifying job functions for administrative or data management tasks

Part Time Data Extraction focuses on retrieving data from various sources, often requiring specific tools and web skills. Part Time Data Entry involves inputting data into systems, emphasizing accuracy and speed. Both roles share basic computer skills but serve different purposes within data management.

More about Part Time Data Extraction jobs

What cities are hiring for Part Time Data Extraction jobs?

Cities with the most Part Time Data Extraction job openings:

What are the most commonly searched types of Data Extraction jobs?

The most popular types of Data Extraction jobs are:

What job categories do people searching Part Time Data Extraction jobs look for?

The top searched job categories for Part Time Data Extraction jobs are:

What other helpful pages are available for Part Time Data Extraction?

Other pages related to Part Time Data Extraction:

Infographic showing various Part Time Data Extraction job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Scientist Assistant (Part-Time)

Arlington, VA โ€ข On-site

American Institutes for Research
Scientific Research and Development Servicesย โ€ขย 1 - 5K employees

Full-time, Part-time

Posted 5 days ago


Job description

AIR's Tek Office is seeking a part-time Data Scientist Assistant to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building. The position will support market intelligence tool development and other agentic, deep-learning, and language-model based solutions. The Data Scientist Assistant will support projects by building cloud-based and on-premises applications.
Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.
This part-time position offers hybrid work flexibility, requiring three days per week in AIR's Crystal City, Virginia office. This position is expected to run from September 2026 through December 2026.
About AIR:
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities:
The responsibilities for the position include:
  • Contribute to the design and implementation of AI- and ML-based workflows, including applications of large language models, generative AI, and multi-agent or human-in-the-loop systems.
  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools.
  • Architect, design, and build components of AI applications.
  • Utilize external resources to supplement, organize, and contribute to tasks and projects.
  • Analyze data outputs.

Qualifications:
Education, Knowledge, and Experience
  • Bachelor's degree in a STEM field, such as Computer Science, Physics, or Data Science.
  • Experience with Python to develop workflows.
  • Familiarity with generative AI tools and applications for practical use cases.

Skills
  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Good communicator with the ability to engage effectively across all organizational levels and backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language.
  • Interest in exploring and developing innovative tools for data-driven applications.
  • Strong team player who collaborates effectively, fosters a positive work environment, and supports shared goals.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.
American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locs, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.
ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.
Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.
AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.
Anticipated Hourly Rate Range
$39-$41 USD