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Remote Data Entry Part Time Student Jobs in Dallas, TX

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ...

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All JobsData Entry Student JobsRemote Data Entry Part Time Student JobsRemote Data Entry Part Time Student Jobs in Dallas, TX

Remote Data Entry Part Time Student information

See Dallas, TX salary details

$10

$19

$28

How much do remote data entry part time student jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data entry part time student in Dallas, TX is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.63 per hour, depending on experience, location, and employer.

What is a remote data entry part time student?

Remote data entry part time student jobs are positions that allow students to work from home or any location with internet access, entering or updating information into computer systems and databases. These jobs typically require attention to detail, basic computer skills, and the ability to follow instructions. They offer flexible hours that can fit around a student's academic schedule, making them ideal for earning extra income while studying.

What is the difference between Remote Data Entry Part Time Student vs Remote Data Entry Clerk?

AspectRemote Data Entry Part Time StudentRemote Data Entry Clerk
CredentialsHigh school diploma or equivalent; student statusHigh school diploma or equivalent
Work EnvironmentRemote, flexible hours, often part-timeRemote or office-based, full or part-time
Industry UsageCommon in educational or entry-level rolesWidespread across various industries
Search IntentPart-time student roles, flexible data entry jobsGeneral data entry positions, clerical work

The main difference is that a Remote Data Entry Part Time Student is typically a student seeking flexible, part-time data entry work suited to their schedule, while a Remote Data Entry Clerk is a more general role available to a broader audience, often with full-time options. Both roles require similar skills but differ mainly in employment status and flexibility.

What are the key skills and qualifications needed to thrive as a remote data entry part time student?

To thrive as a Remote Data Entry Part Time Student, you need strong typing skills, attention to detail, and basic computer literacy, often supported by a high school diploma or current enrollment in a degree program. Familiarity with spreadsheet software like Microsoft Excel or Google Sheets, and data entry platforms is typically required. Reliability, time management, and the ability to work independently are essential soft skills for this role. These skills ensure accurate data processing, meet project deadlines, and support smooth remote operations.

What are some common challenges faced by part-time students working in remote data entry roles, and how can they be managed?

Part-time students working in remote data entry roles often face challenges like managing time effectively between academic commitments and work deadlines, maintaining focus in a home environment, and ensuring data accuracy when multitasking. To overcome these, it's helpful to set specific work hours, create a distraction-free workspace, and use productivity tools to track tasks. Regular communication with supervisors about workload and deadlines can also help maintain a healthy balance and prevent misunderstandings.

What are popular job titles related to Remote Data Entry Part Time Student jobs in Dallas, TX?

For Remote Data Entry Part Time Student jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Part Time Student jobs in Dallas, TX look for?

The top searched job categories for Remote Data Entry Part Time Student jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Data Entry Part Time Student jobs?

Cities near Dallas, TX with the most Remote Data Entry Part Time Student job openings:

Remote Data Entry Part Time Student jobs near you
Infographic showing various Remote Data Entry Part Time Student job openings in Dallas, TX as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,068 per year, or $19.3 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Re-posted 20 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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