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Generative Ai Volunteer Jobs (NOW HIRING)

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience building and deploying AI Inference and Generative AI applications. * Experience with ... Paid Volunteer Time * Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HYBRID

DOOSAN

AI Engineer

Buford, GA · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... paid volunteer opportunities, community non-profit donation match, along with paid vacation ...

Goosehead

AI Agent Engineer

Westlake, OH · On-site

Drive innovation by staying current with advancements in generative AI, multi-agent frameworks, and ... High quality voluntary health, vision, disability, life, and dental insurance programs * 401K ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience building and deploying AI Inference and Generative AI applications. * Experience with ... Paid Volunteer Time * Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HYBRID

TheIncLab

AI Development Lead

Mclean, VA

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Paid time off and Paid volunteer time * Health and Wellness Benefits include options for Medical ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience building and deploying AI Inference and Generative AI applications. * Experience with ... Paid Volunteer Time * Employee Resource Groups EEO/VEVRAA #LI-HYBRID #LI-BV1

TheIncLab

AI Development Lead

Mclean, VA · On-site

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Paid time off and Paid volunteer time * Health and Wellness Benefits include options for Medical ...

TheIncLab

AI Development Lead

Mclean, VA · On-site

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Paid time off and Paid volunteer time * Health and Wellness Benefits include options for Medical ...

Davis Wright Tremaine LLP

AI Developer

$184K - $209K/yr

... combine generative AI, data, and legal process expertise. Working inside De Novo, you'll ... Choice of health and vision insurance plans * 2 paid volunteer days for qualifying community ...

The Campbell?s Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Our Campbell?s Cares program matches employee donations and/or volunteer activity up to $1,500 ... This co-op / internship offers hands-on experience at the forefront of Generative AI and automation.

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All JobsGenerative Ai Volunteer Jobs

Generative Ai Volunteer information

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How much do generative ai volunteer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for generative ai volunteer in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What types of projects do generative AI volunteers typically work on, and how do they collaborate with other team members?

Generative AI Volunteers often contribute to projects such as creating AI-generated content, building or refining machine learning models, and developing tools that support creative or educational initiatives. Collaboration is usually done through online platforms, where volunteers work closely with data scientists, project managers, and other volunteers to share ideas, divide tasks, and review each other's work. Volunteers may also participate in regular virtual meetings to discuss progress and troubleshoot challenges together. This collaborative environment provides valuable learning opportunities and exposure to real-world AI development processes.

What is the difference between Generative Ai Volunteer vs Data Annotator?

AspectGenerative Ai VolunteerData Annotator
Required CredentialsBasic technical skills, interest in AIAttention to detail, basic computer skills
Work EnvironmentRemote or volunteer settings, non-profit projectsRemote or in-house data labeling tasks
Employer & Industry UsageAI research groups, non-profits, open-source projectsTech companies, AI firms, data companies
Common Search & Comparison IntentUnderstanding volunteer roles in AIData labeling and annotation roles

Generative Ai Volunteers typically contribute to AI projects by creating or refining AI models without formal credentials, often in volunteer or non-profit settings. Data Annotators focus on labeling data to train AI systems, usually requiring attention to detail and basic skills. While both roles support AI development, Generative Ai Volunteers are more involved in model creation, whereas Data Annotators focus on data preparation.

What are the key skills and qualifications needed to thrive as a generative AI volunteer?

To thrive as a Generative AI Volunteer, you need a solid understanding of AI principles, machine learning concepts, and basic programming skills, often supported by coursework or self-study in data science or computer science. Familiarity with tools such as Python, TensorFlow or PyTorch, and experience using collaborative platforms like GitHub are typically required. Strong communication, adaptability, and a proactive learning attitude are valuable soft skills for working in dynamic, team-based environments. These skills are crucial to contribute effectively to AI projects, adapt to evolving technologies, and support collaborative innovation.

What is a generative AI volunteer?

Generative AI Volunteers are individuals who contribute their time and skills to projects involving generative artificial intelligence, such as developing, testing, or promoting AI systems that create content like text, images, music, or code. These volunteers may assist in research, data annotation, model evaluation, or community education, often within non-profit organizations, open-source projects, or academic collaborations. Their work helps advance the field of AI by supporting innovation, ethical development, and broader accessibility to AI technologies.
More about Generative Ai Volunteer jobs
What cities are hiring for Generative Ai Volunteer jobs? Cities with the most Generative Ai Volunteer job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Volunteer jobs? States with the most job openings for Generative Ai Volunteer jobs include:
What job categories do people searching Generative Ai Volunteer jobs look for? The top searched job categories for Generative Ai Volunteer jobs are:
Generative Ai Volunteer jobs near you
Infographic showing various Generative Ai Volunteer job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Staff Software Engineer - AI

Cloudera, Inc.

Austin, TX • On-site

Full-time

PTO

Posted 22 days ago

Job description

Business Area:
Engineering
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform. You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management.
We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual, and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.
Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.
This role is not eligible for immigration sponsorship.
As a Software Engineer you will....
  • Help build the leading platform for AI and Machine Learning in the enterprise.
  • Design, code, and implement elegant, scalable, enterprise-quality AI inference services powered by machine learning models.
  • Design and Develop AI Model Registry and AI applications
  • Work to enhance developer velocity and team agility.
  • Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners.

We are excited if you have....
  • Experience building and deploying AI Inference and Generative AI applications.
  • 8+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java
  • Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.
  • Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes
  • Demonstrate ability to go deep into technology and complex distributed systems
  • Experience in crafting high-level and low-level design
  • Experience in building highly scalable, robust and secure enterprise applications
  • Self-driven and motivated, with a strong sense of ownership and craftsmanship
  • Strong written and verbal communication skills.
  • Bsc/Msc in related field or equivalent experience

You may also have...
  • Experience with HuggingFace, Nvidia AI frameworks and Nim models.
  • Experience with AI/ML orchestration software KServe, Knative, Kubeflow.
  • Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)
  • Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
  • Good to have some full-stack experience with React, HTML, CSS.
  • Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)
  • Deep understanding of cloud-based networking
  • Experience using Big Data technologies like Spark, Hive etc.
  • Proven track record of collaborating with agile teams across geographically dispersed locations

What you can expect from us:
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

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#LI-CP1
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