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Remote Google Data Entry Jobs in Spring, TX (NOW HIRING)

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Remote Google Data Entry information

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How much do remote google data entry jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote google data entry in Spring, TX is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.47 per hour, depending on experience, location, and employer.

What is a Remote Google Data Entry job?

A Remote Google Data Entry job involves inputting, updating, and managing data within Google platforms such as Google Sheets, Google Docs, or Google Drive. Employees typically work from home and perform tasks like organizing information, verifying accuracy, and maintaining digital records. Strong attention to detail, basic computer skills, and familiarity with Google Workspace tools are essential. This role is often part-time or freelance, making it a flexible job option for those with good typing and organizational skills.

Does Google offer entry level remote jobs?

Google offers a variety of entry-level remote jobs across different departments, including data entry roles. These positions often require basic computer skills, attention to detail, and sometimes familiarity with tools like Google Workspace. Candidates should review specific job postings for requirements and application details.

How can I make 2000 a week working from home?

A remote Google data entry job typically pays hourly, and earning $2000 weekly requires working full-time hours at competitive rates, often around $15-$25 per hour. Increasing income may involve gaining advanced skills, certifications, or taking on multiple clients or roles to reach higher earnings consistently.

How to make $1000 a week remote?

A remote Google Data Entry job typically pays hourly, so earning $1000 weekly requires working approximately 40 hours at a standard rate or more at higher rates. Increasing income can involve gaining advanced skills, certifications, or taking on multiple clients or projects to boost earnings within a flexible schedule.

Does Google have data entry jobs?

Google offers data entry jobs that typically involve inputting, updating, and managing data using tools like spreadsheets and databases. These roles often require attention to detail, basic computer skills, and sometimes familiarity with Google's productivity tools. However, most data entry positions are found through third-party job platforms rather than directly at Google.

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

To thrive as a Remote Google Data Entry professional, you must have excellent attention to detail, fast and accurate typing skills, and a solid understanding of data management principles. Familiarity with Google Workspace tools (such as Google Sheets, Docs, and Drive) is essential, and experience with basic database systems or data entry software may be beneficial. Strong time management, self-motivation, and clear communication skills set top performers apart in remote environments. These abilities are crucial for ensuring data accuracy, meeting deadlines, and effectively collaborating with distributed teams.

What are the typical daily responsibilities of a Remote Google Data Entry specialist?

As a Remote Google Data Entry specialist, your typical day will involve entering, updating, and verifying information within Google Sheets or other Google Workspace applications, ensuring that all data is accurate and up-to-date. You may also be responsible for organizing digital files, reviewing existing data for errors or inconsistencies, and collaborating with team members via email or project management tools. Attention to detail is particularly important as even small mistakes can impact larger business operations. Depending on the employer, you might work independently or as part of a remote team and may have regular check-ins or progress tracking to ensure goals are met.

What are the most commonly searched types of Google Data Entry jobs in Spring, TX? The most popular types of Google Data Entry jobs in Spring, TX are:
What are popular job titles related to Remote Google Data Entry jobs in Spring, TX? For Remote Google Data Entry jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Google Data Entry jobs in Spring, TX look for? The top searched job categories for Remote Google Data Entry jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Google Data Entry jobs? Cities near Spring, TX with the most Remote Google Data Entry job openings:
Remote Google Data Entry jobs near you

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Houston, TX • Remote

$45/hr

Part-time

Posted 27 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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