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Remote Data Collection Jobs in Texas (NOW HIRING)

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

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$15

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How much do remote data collection jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote data collection in Texas is $23.58, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Collection position, and why are they important?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What are the most commonly searched types of Data Collection jobs in Texas? The most popular types of Data Collection jobs in Texas are:
What are popular job titles related to Remote Data Collection jobs in Texas? For Remote Data Collection jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection jobs in Texas look for? The top searched job categories for Remote Data Collection jobs in Texas are:
What cities in Texas are hiring for Remote Data Collection jobs? Cities in Texas with the most Remote Data Collection job openings:
Remote Data Collection jobs near you
Infographic showing various Remote Data Collection job openings in Texas as of June 2026, with employment types broken down into 51% Part Time, and 49% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,042 per year, or $23.6 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Posted 26 days ago

Job description

Mindrift is looking for highly skilled Senior 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.

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 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.

Requirements:

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