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Part Time Data Collection Jobs in New York (NOW HIRING)

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Part Time Data Collection information

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$17

$27

$34

How much do part time data collection jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for part time data collection in New York is $27.69, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $28.41 per hour, depending on experience, location, and employer.

What is a part time data collection job?

Part time data collection jobs involve gathering, recording, and sometimes analyzing information on a flexible or reduced-hour schedule. These roles can include tasks like conducting surveys, entering data into databases, collecting field data, or compiling information from various sources. They are popular among students, freelancers, or anyone seeking supplemental income and can be found in industries such as research, marketing, healthcare, and more. Many of these jobs can be performed remotely or on-site, depending on the employer's needs.

What are the key skills and qualifications needed to thrive as a part time data collection specialist?

To thrive as a Part Time Data Collection Specialist, you generally need strong attention to detail, accuracy, and basic data management skills, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes mobile data collection apps is typically required. Reliability, effective communication, and strong organizational skills help you stand out in this role. These competencies are essential to ensure the accurate and timely collection of data, which is critical for informed decision-making and project success.

What are some common challenges faced in a part-time data collection role, and how can they be managed?

Part-time data collection roles often involve working with tight deadlines, managing large volumes of data, and adapting quickly to changing project requirements. You may encounter challenges such as inconsistent data sources, technical issues with data collection tools, or coordinating with team members remotely. To manage these, it's important to communicate regularly with your supervisor, stay organized with detailed records, and be proactive in seeking clarification when tasks are unclear. Many organizations also provide training and support to help you overcome these obstacles efficiently.

What is the difference between Part Time Data Collection vs Part Time Market Research Interviewer?

AspectPart Time Data CollectionPart Time Market Research Interviewer
Required CredentialsBasic computer skills, sometimes training providedCommunication skills, sometimes training provided
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Employer & IndustryResearch firms, survey companiesMarket research firms, survey companies

Both roles often require similar skills and are used in research and survey industries. Data Collection focuses on gathering data through various methods, while Market Research Interviewers conduct interviews to collect consumer insights. They are often interchangeable in job searches, but Data Collection roles tend to emphasize data accuracy and technical tasks, whereas Interviewers focus on communication skills.

Can you work remotely in part time data collection?

Part time data collection jobs can often be performed remotely, depending on the employer and the specific tasks involved. Many roles require online data entry, surveys, or research, which can be completed from home with a computer and internet connection. However, some positions may require on-site presence for certain data collection activities.

What are the most commonly searched types of Data Collection jobs in New York?

The most popular types of Data Collection jobs in New York are:

Part Time Data Collection jobs near you
Infographic showing various Part Time Data Collection job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $57,590 per year, or $27.7 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Queens, NY • Remote

$45/hr

Part-time

Re-posted 23 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • 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.

Educational qualifications

  • 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.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (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)

Additional requirements

  • 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.

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