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Google Colab Jobs (NOW HIRING)

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working in a team-based ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working in a team-based ...

Turing

Data Quality and Tooling Specialist

Chicago, IL · Remote

Perform hands-on QC work and design/develop simple Python-based tools (primarily using Google Colab) to help internal domain experts efficiently review and validate samples.Bring strong analytical ...

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

ClearanceJobs

Staff Accountant Jobs

Rockville, MD · On-site

$56K - $73K/yr

Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Equal Opportunity Statement: Seneca Holdings provides equal employment opportunities to all ...

Digitas

USMS - PH CoLab

Manhattan, NY

The strategy team at CoLab is responsible for unearthing consumer insights and evaluating digital ... Comscore, MRI, Google Analytics, to uncover the data and insights that drives strategic ...

ASRC Federal Holding

Geospatial Analyst

Reston, VA · On-site

Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working in a team-based ...

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$24K

$77.7K

$172.5K

How much do google colab jobs pay per year?

As of Jun 4, 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.

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.

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.

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.

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 May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $77,698 per year, or $37.4 per hour.

Senior Data Scientist | Remote

Crossing Hurdles

Manhattan, NY • Remote

$100 - $160/hr

Full-time

Posted 14 days ago

Job description

Position: Experienced & Credentialed Data Scientists Type: Hourly contract Compensation: $100-$160 per hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities Work on projects that focus on training and enhancing AI systems Apply data science expertise in domains such as quant trading, bioinformatics, astrophysics, and applied computational mathematics Requirements Strong credentials in data science, typically a PhD or MS in a related field Industry work experience in fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or similar Experience with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools #J-18808-Ljbffr

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