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Home Based Google Colab Jobs (NOW HIRING)

CoLab Software

Senior 3D & AI Systems Software Developer

$125K - $165K/yr

Proudly based in St. John's, Newfoundland, CoLab started with one customer in 2018. Since then we ... Google Gemini) * Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn

CoLab Software

VP of Software Engineering

Proudly based in St. John's, Newfoundland, CoLab started with one customer in 2018. Since then we ... John's, Newfoundland, Canada but this role has the flexibility to work from anywhere within North ...

Delegate CX

Home Based Sales Admin

$20.50 - $28.25/hr

DCX Client Services - Home Based Sales Administrator It's fun to work in a company where people ... Proficient with Google suite (Google sheets, Gmail etc.) What We Offer * Salary Range: 55,000 - 60 ...

Weekday AI

STEM Researcher - Computational Fields

$60 - $90/hr

... Google Colab . * Experience with AI evaluation, benchmark development, AI training, or task ... Payments are issued weekly based on approved work completed. * At this time, we are unable to ...

Owens & Minor

Data Scientist

$110K - $117K/yr

The actual compensation offered may vary based on job related factors such as experience, skills ... Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and ...

Owens & Minor, Inc.

Data Scientist

$110K - $117K/yr

... and Google Colab for data modeling, processing, and automation. • Design and maintain data ... based approaches. • Strong experience in data model optimization, feature engineering, and ...

Delegate CX

Home-Based Customer Service Assistant

$17.75 - $24.25/hr

Home-Based Customer Service Assistant It's fun to work in a company where people truly BELIEVE in ... Proficient in Microsoft Office and Google Workspace. * Familiarity with CRM systems and customer ...

Delegate CX

Home-Based Promotional Order Specialist

$17.50 - $23/hr

DCX Client Services - Home-Based Promotional Customer Service Representative / Order Management It ... Proficient in both Microsoft and Google applications. Basic exposure to Adobe Illustrator, Adobe ...

Delegate CX

Home-Based Customer Service Representative

$16.50 - $22.25/hr

Home-Based Customer Service Representative It's fun to work in a company where people truly BELIEVE ... Proficiency in both Microsoft and Google applications. * Familiarity with CRM systems and customer ...

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All JobsRemote JobsHome Based Google Colab Jobs

Home Based Google Colab information

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$28

How much do home based google colab jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for home based google colab in the United States is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.08 per hour, depending on experience, location, and employer.

What is a home based Google Colab?

A Home Based Google Colab job involves working remotely using Google Colab, an online platform that allows users to write and execute Python code in a collaborative environment. These jobs typically focus on data analysis, machine learning, or research tasks that require coding and data manipulation. Employees or freelancers use Google Colab to perform work assignments, collaborate with team members, and share results—all from the comfort of their own home. This setup is ideal for those with strong programming and data science skills who prefer flexible, remote work.

How does collaborating with team members typically work for a home based Google Colab role?

In a home-based Google Colab role, collaboration usually happens through shared Colab notebooks, version control platforms like GitHub, and regular virtual meetings using tools such as Zoom or Slack. Team members comment directly in notebooks, review code, and provide feedback asynchronously, which allows for flexible work hours. Clear communication and consistent documentation are essential to ensure everyone stays aligned on project goals and tasks. This setup encourages autonomy while also fostering a collaborative environment where knowledge sharing is valued.

What are the key skills and qualifications needed to thrive as a home based Google Colab specialist, and why are they important?

To excel as a Home-Based Google Colab Specialist, you should have a solid background in programming (especially Python), data analysis, and machine learning, usually supported by relevant degrees or certifications. Familiarity with Google Colab, Jupyter Notebooks, cloud storage tools, and libraries like TensorFlow or Pandas is essential. Strong problem-solving, time management, and clear communication skills help you collaborate remotely and deliver results independently. These abilities ensure efficient project execution, effective collaboration, and high-quality analytical outcomes in a remote setting.

What is the difference between Home Based Google Colab vs Data Analyst?

AspectHome Based Google ColabData Analyst
Required CredentialsBasic programming skills, familiarity with PythonBachelor's degree in data science, statistics, or related field
Work EnvironmentRemote, cloud-based platformTypically office or remote, using various data tools
Industry UsageUsed for coding, data analysis, and machine learning projectsAnalyzing data, creating reports, supporting decision-making

Home Based Google Colab is a cloud-based platform primarily used for coding and data projects, requiring basic programming skills. Data Analysts often work in similar remote or office environments, focusing on data interpretation and reporting. While both roles involve data, Google Colab is a tool, whereas Data Analyst is a job title involving broader data analysis responsibilities.

What are the most commonly searched types of Google Colab jobs?

The most popular types of Google Colab jobs are:

What job categories do people searching Home Based Google Colab jobs look for?

The top searched job categories for Home Based Google Colab jobs are:

Home Based Google Colab jobs near you
Infographic showing various Home Based Google Colab job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

Data Science & Quantitative Analysis Expert

Remote

Weekday AI
Human Resources Consulting Services • 11 - 50 employees
Learn more about Weekday AIexternal

$60 - $90/hr

Part-time

Re-posted 17 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced Data Scientists and Quantitative Analysts to bring real-world analytical rigor to AI evaluation by designing sophisticated benchmark tasks based on practical data science workflows.
In this role, you will create complex, multi-step analytical challenges that mirror real research and business scenarios-from cleaning datasets and comparing statistical methods to interpreting results and presenting actionable insights. Working closely with AI researchers, you'll help identify where advanced AI models succeed, where they fail, and how evaluation benchmarks can better measure analytical reasoning.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design realistic data analysis challenges inspired by real-world research and analytical workflows, including data preparation, statistical modeling, hypothesis testing, and comparative analysis.
  • Develop reproducible reference analyses using Jupyter Notebooks or Google Colab, documenting methodologies and findings with clarity.
  • Create benchmark tasks that require objective comparisons between analytical techniques, supported by statistical validation and evidence-based recommendations.
  • Evaluate AI-generated analyses for correctness, statistical validity, reasoning quality, and interpretation accuracy.
  • Identify analytical errors, flawed assumptions, and reasoning gaps that experienced data professionals would immediately recognize.
  • Collaborate with AI researchers and fellow subject matter experts to improve benchmark quality, consistency, and analytical rigor.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in Data Science, Statistics, Mathematics, Economics, Operations Research, or another quantitative STEM discipline.
  • Minimum 1 year of professional experience in research, research engineering, quantitative analysis, data science, or another data-intensive analytical role.
  • Strong hands-on experience with data cleaning, exploratory data analysis, statistical testing, correlation analysis, predictive modeling, and interpretation of analytical results.
  • Proficiency with Jupyter Notebooks or Google Colab for building reproducible analytical workflows.
  • Strong programming skills in Python, including experience with libraries such as pandas, NumPy, SciPy, scikit-learn, or similar analytical frameworks.
  • Working knowledge of Git and collaborative software development practices.
  • Excellent written communication skills with the ability to present analytical findings clearly to both technical and non-technical audiences.
  • Experience with AI evaluation, benchmark development, AI model assessment, or task authoring is preferred.
  • Exceptional analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended problems independently.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience designing reproducible research workflows or analytical evaluation frameworks.
  • Familiarity with machine learning, large language models, or AI-assisted data analysis.
  • Background in benchmark design, statistical modeling, or quantitative research methodology.
  • Experience reviewing analytical work, mentoring analysts, or contributing to research publications.
Why Join
  • Help shape the future of AI by improving how advanced models are evaluated on real-world analytical reasoning.
  • Collaborate with leading AI researchers developing frontier evaluation benchmarks.
  • Apply your expertise in statistics and data science to advance AI reliability and decision-making capabilities.
  • Contribute directly to benchmark development that influences the evolution of next-generation AI systems.
  • Enjoy the flexibility of a fully remote engagement while working on impactful AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

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