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Google Colab Jobs (NOW HIRING)

Break Through Tech

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 ...

CoLab Software

Senior 3D & AI Systems Software Developer

$125K - $165K/yr

About CoLab At CoLab, we help mechanical engineering teams bring life-changing products to market ... Google Gemini) * Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn

Digitas

USMS - PH CoLab

Manhattan, NY · On-site

Director, Brand Strategy Publicis CoLab is where brilliant minds come together to create digital ... Comscore, MRI, Google Analytics, to uncover the data and insights that drives strategic ...

MSLGROUP

USMS - PH CoLab

Manhattan, NY · On-site

Director, Brand Strategy Publicis CoLab is where brilliant minds come together to create digital ... Comscore, MRI, Google Analytics, to uncover the data and insights that drives strategic ...

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All JobsGoogle Colab Jobs

Google Colab information

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$24K

$77.7K

$172.5K

How much do google colab jobs pay per year?

As of Jul 3, 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:
What job categories do people searching Google Colab jobs look for? The top searched job categories for Google Colab jobs are:
Google Colab jobs near you
Infographic showing various Google Colab job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $77,698 per year, or $37.4 per hour.

Fixed Income Product Manager

Cantor Fitzgerald Securities

Manhattan, NY

Full-time

Posted 20 days ago

Job description

The Fixed Income Product Manager will act as the bridge between business stakeholders, broking desks, and technology teams. The successful candidate will help identify, define, and deliver platform enhancements that drive revenue growth, expand market coverage, and ensure regulatory compliance.

  • Deep understanding of Fixed Income products including Treasuries, Gilts, EGBs, TIPS/Linkers, and Corporate Bonds.
  • Strong grasp of derivative instruments such as Credit Default Swaps (CDS) and Interest Rate Swaps (IRS), OIS, FRAs, Caps/Floors, and Swaptions.
  • Excellent understanding of price, yield-to-maturity, and DV01 concepts and their underlying calculations.
  • Familiarity with structured trades and packages (switches, flies, basis, gadgets, spread switches) and how they are priced and settled.
  • Knowledge of trading protocols such as Central Limit Order Books (CLOB) and auction mechanisms.
  • (Optional) Understanding of implied trading and legging strategies.
Technical Skills
  • Advanced Excel proficiency.
  • Working knowledge of SQL for querying databases (Oracle, Sybase, NoSQL).
  • Ability to conduct data analysis in Python using frameworks such as Pandas and Matplotlib (in Jupyter Notebook or Google Colab).
  • Ability capture requirements in Confluence and Jira
  • Familiarity with test automation and ability to guide the QA team on test scenarios 
  • Collaborate with business stakeholders to identify new feature opportunities that enhance revenue potential, market reach, and compliance.
  • Translate business requirements into clear, actionable system requirements.
  • Liaise between broking desks, developers, and QA teams to ensure successful implementation and rollout of solutions.
  • Support QA during testing and coordinate User Acceptance Testing (UAT) with end users to ensure timely sign-offs.

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