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Remote Google Philanthropy Jobs (NOW HIRING)

Azumo

Data Scientist, Applied AI - Remote

We believe in giving back to our community and will volunteer our time to philanthropy, open-source ... Google Vertex AI , or Azure Machine Learning . * Familiarity with big-data ecosystems ( Spark ...

Mortgage Connect

RON Specialist

Coraopolis, PA · Remote

$25/hr

We are in the business of home ownership and are looking for a certified and experienced Remote ... Proficiency with computers, including Microsoft Office and Google applications (Chrome, Sheets ...

CodePath

Talent Sourcer (Contract)

$70K - $85K/yr

Remote, United States Role Type: Contract, Full-Time Duration: 6 month contract Reporting to ... philanthropy, curriculum, and marketing. CodePath is an AI-native organization building pathways ...

Unite America

Data Analyst

Denver, CO · On-site +1

That may include ad hoc tools such as a Google Sheets-based event invite tracker, or more durable ... Remote employees should expect to travel at least four times per year for organizational retreats ...

LifeWise Academy

North Texas State Director

Dallas, TX · On-site +1

$90K/yr

Proactively "hunt" for new philanthropic leads by leveraging state-wide professional networks and ... Self-Starter/Entrepreneur- the ability to thrive in an autonomous remote environment. Maintain high ...

CECP

CECP Marketing Intern

Manhattan, NY · Remote

$20/hr

We do not discriminate in our societal, philanthropic, and business decisions; we encourage and ... This position is fully remote, but you must be a US Citizen and currently living in the United ...

CECP

CECP Marketing Intern

Manhattan, NY · On-site +1

$20/hr

We do not discriminate in our societal, philanthropic, and business decisions; we encourage and ... This position is fully remote, but you must be a US Citizen and currently living in the United ...

Relevate Health

$120K - $150K/yr

Google App Script experience * Experience with cloud gaming * Experience tracking networked states ... Remote working if outside 40 miles of a Relevate Health Office * Travel may apply based on position

The Good Food Institute

Corporate Engagement Intern

$20/hr

Powered by philanthropy, GFI is an international network of organizations advancing alternative ... Experience with Google Workspace (Docs, Sheets, Slides). * Experience with Microsoft PowerPoint.

Counterpart

Claims Manager

Additional familiarity with Google Docs Editors suite is a plus. * Willingness to use creative ... Ability to succeed in a full remote workplace environment, and travel as necessary (approximately ...

Counterpart

Claims Manager

Additional familiarity with Google Docs Editors suite is a plus. * Willingness to use creative ... Ability to succeed in a full remote workplace environment, and travel as necessary (approximately ...

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How much do remote google philanthropy jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote google philanthropy in the United States is $26.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $33.17 per hour, depending on experience, location, and employer.

What is a Remote Google Philanthropy?

A Remote Google Philanthropy job involves working for Google’s philanthropic arm, Google.org, from anywhere outside of a traditional office setting. Employees in these roles focus on projects that use technology and innovation to address global social and environmental challenges. Typical responsibilities include grant management, program development, partnership building, and supporting nonprofit initiatives. Remote positions allow for greater flexibility while contributing to impactful work aligned with Google’s mission to make a positive difference in the world.

How does working remotely for Google Philanthropy impact collaboration with global teams and partners?

As a remote member of Google Philanthropy, you will regularly collaborate with colleagues and external partners across various time zones and cultural backgrounds. This requires strong communication skills, flexibility in scheduling meetings, and proficiency with digital collaboration tools such as Google Workspace and video conferencing platforms. While remote work offers autonomy and flexibility, proactively building relationships and maintaining open channels of communication are essential for successful project outcomes. You'll also participate in virtual team meetings and may occasionally travel for key initiatives or events.

What are the key skills and qualifications needed to thrive as a Remote Google Philanthropy professional, and why are they important?

To thrive as a Remote Google Philanthropy professional, you need expertise in nonprofit program management, social impact strategy, and a background in philanthropy or social innovation, often supported by a relevant degree. Familiarity with grant management platforms, data analysis tools, and Google Workspace is typically required, along with knowledge of impact measurement frameworks. Outstanding communication, collaboration, and cross-cultural sensitivity are soft skills that set top performers apart in this role. These abilities are essential for effectively driving philanthropic initiatives, building partnerships, and maximizing the positive impact of Google's charitable efforts remotely.
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Remote Google Philanthropy jobs near you
Infographic showing various Remote Google Philanthropy job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $54,232 per year, or $26.1 per hour.

Data Scientist, Applied AI - Remote

Remote

Azumo
See more jobs at Azumoexternal

Full-time

PTO

Re-posted 10 days ago

Job description

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)
This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.
We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.
Key Responsibilities
Model Development & Productionization
  • Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
  • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
  • Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
  • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps
  • Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
  • Automate training and serving workflows with Airflow or similar orchestration tools.
  • Monitor model performance in production; iterate on drift detection and retraining strategies.
  • Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices
  • Write production-grade Python code following SOLID principles, unit tests and code reviews.
  • Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
  • Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration
  • Communicate analysis, design and results clearly in English.
  • Partner with DevOps, data engineering and product teams to align on requirements and SLAs.

About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
Requirements
Minimum Qualifications
  • Bachelor's or Master's in Computer Science, Data Science or related field.
  • 5+ years of professional experience with Python in production environments.
  • Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
  • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
  • Proven track record deploying ML solutions.
  • Expert in pandas, NumPy and scikit-learn.
  • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
  • Strong foundation in statistics and experimental design.
  • Excellent written and spoken English.

Preferred Qualifications
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
  • Familiarity with big-data ecosystems (Spark, Hadoop).
  • Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
  • Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
  • Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
  • Hands-on experience with vector databases (e.g., Pinecone, FAISS).
  • Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
  • Documentation skills using PlantUML or similar.

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Profit Sharing
  • $US Remuneration

Apply