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Google Colab Jobs (NOW HIRING)

About the job Google's software engineers develop the next-generation technologies that change how ... Participate in a tier 2 on-call rotation to support Colab's production services. * Contribute to ...

AI Coach

Manhattan, NY · Remote

$35/hr

Actively monitor and participate in team collaboration tools including but not limited to Google Colab, GitHub, and Discord * Intervene to address issues with Fellow engagement and participation ...

This may include researching and evaluating R packages, Python tools, SAS procedures, Shiny applications, Google Colab notebooks, Jupyter notebooks, or other resources that may benefit IFAS ...

Senior Data Engineer, GTM

Mountain View, CA · On-site

$125K - $169K/yr

Experience with google colaboratory (Colab), TensorFlow, Tensor Processing Units (TPUs), and agentic tools and platforms for processing unstructured text data. * Experience with LLM orchestration and ...

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Google Colab information

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$24K

$77.7K

$172.5K

How much do google colab jobs pay per year?

As of Jul 27, 2026, the average yearly pay for google colab in the United States is $77,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a Google Colab job?

A Google Colab job typically refers to tasks or projects performed using Google Colaboratory, a cloud-based Jupyter notebook environment. It is commonly used for machine learning, data analysis, and Python development without requiring local setup. Professionals working with Google Colab may include data scientists, AI researchers, and engineers leveraging GPU and TPU resources for computation.

Is Google Colab still a thing?

Google Colab remains a popular cloud-based platform for data scientists and machine learning engineers to run Python code, access GPUs, and collaborate on projects. It is actively maintained and widely used in the industry for training models and sharing notebooks. Its features continue to evolve with regular updates from Google.

How can I make 2000 a week working from home?

Making $2000 a week working from home typically requires high-demand skills such as software development, digital marketing, or freelance consulting, often involving remote work platforms or self-employment. Success depends on experience, client base, and the ability to scale services or projects, with some roles requiring certifications or specialized knowledge.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as freelance software developers, digital marketers, sales managers, and certain skilled trades like electricians or plumbers. Success in these roles often depends on experience, skills, certifications, and the ability to generate clients or sales, rather than formal education.

What are the key skills and qualifications needed to thrive as a Google Colab Data Scientist, and why are they important?

To thrive as a Google Colab Data Scientist, you need a strong foundation in Python programming, data analysis, and machine learning, typically supported by a degree in computer science or a related field. Familiarity with Google Colab, Jupyter Notebooks, TensorFlow, and data visualization libraries is essential. Strong problem-solving, communication, and collaboration skills help you effectively interpret data and share results with stakeholders. These skills enable efficient development and sharing of reproducible data science workflows in a collaborative, cloud-based environment.

How to make 25 dollars an hour online?

To earn $25 an hour online with a focus on Google Colab, you can offer freelance data analysis, machine learning, or coding services that utilize Colab's cloud-based environment. Building skills in Python, machine learning, and data science, along with a strong portfolio, can help you secure such paid projects or freelance gigs.

What is Google Colab?

Google Colab, short for Google Colaboratory, is a free cloud-based platform that allows users to write and execute Python code through a web browser. It is especially popular for machine learning, data analysis, and education because it provides free access to GPUs and TPUs. Colab notebooks are similar to Jupyter notebooks and support easy sharing and collaboration. Users can also import data from Google Drive and other sources, making it a convenient tool for both beginners and professionals.

What is the difference between Google Colab vs Data Scientist?

FeatureGoogle ColabData Scientist
Primary UseCloud-based platform for coding, collaboration, and machine learning experimentsAnalyzing data, building models, and deriving insights from data
Required SkillsPython, Jupyter notebooks, basic ML knowledgeStatistics, programming, data analysis, ML expertise
Work EnvironmentOnline, collaborative, flexibleOffice or remote, analytical and research-focused
CredentialsNone required, but programming skills neededDegree in data science, statistics, or related field

Google Colab is a tool used by data scientists for coding and experimentation, while a data scientist is a professional who analyzes data and builds models. Google Colab supports data science tasks but is not a job role itself. Understanding the differences helps in choosing the right tools and career path.

What are some common challenges faced when working as a Google Colab specialist in a collaborative team environment?

As a Google Colab specialist, one common challenge is ensuring smooth collaboration when multiple team members are working on the same notebook, as version control can be tricky. Managing dependencies and ensuring consistent environments across users also requires careful setup, since Colab sessions can reset and lose installed packages. Additionally, dealing with Colab's resource limitations, such as session timeouts or GPU availability, can impact project timelines. Clear communication and structured workflows help mitigate these challenges and support efficient teamwork.
More about Google Colab jobs
What are the most commonly searched types of Google Colab jobs? The most popular types of Google Colab jobs are:
Infographic showing various Google Colab job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $77,698 per year, or $37.4 per hour.
Software Engineer, Colab

Software Engineer, Colab

Google

Kirkland, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with front-end and user interface development.
  • Experience with web technologies including HTML, CSS, JavaScript, and TypeScript.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience with software like coLaboratory, JupyterLab, or other relevant tools.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will deliver user experiences for data science and machine learning practitioners on all of our owned surfaces.
We build and support the "face of the product" to our customers. We strive to delight them with intuitive, helpful, scalable, and reliable product surfaces that allow them to solve real data science problems and derive critical insights. Our team is also responsible for building the next-generation, AI-native data science tools on top of the Colab stack.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Participate in a tier 2 on-call rotation to support Colab's production services.
  • Contribute to the exploration, design, and implementation of a frontend modernization effort, updating our codebase to align with modern, Google-standard infrastructure.
  • Collaborate with product and engineering teams to design and build an extensible frontend architecture that accelerates the development of new features.
  • Develop and deliver high-quality, performance features for critical team projects.
  • Design, build, and maintain robust frontend components and services for the Colab applications.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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