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Generative Ai Volunteer Jobs (NOW HIRING)

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 ...

Berkadia

Senior Engineer - Machine Learning

Ambler, PA · On-site

$100K - $138K/yr

Berkadia now has a dedicated machine learning team and an established generative AI system - Berkie ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

Berkadia now has a dedicated machine learning team and an established generative AI system - Berkie ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

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 ...

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 · 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 ...

TEKsystems

Senior Conversational Designer

Alpharetta, GA · Hybrid

$75 - $96/hr

Generative AI * Strong Communication & Organizational Skills * Experience Design Key Qualifications ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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 ...

TEKsystems

Senior Conversational Designer

Alpharetta, GA · Hybrid

$75 - $96/hr

Generative AI * Strong Communication & Organizational Skills * Experience Design Key Qualifications ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Neura Market

$135 - $165/hr

In this era, organizations will use generative AI to unlock hidden value in their data, accelerate ... We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D ...

New

TEKsystems

AI Security Risk Assessor

Chicago, IL · Remote

$75 - $100/hr

Generative AI platforms, Large Language Models (LLMs), AI Agents, Third-Party AI Providers, Open ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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Generative Ai Volunteer information

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How much do generative ai volunteer jobs pay per hour?

As of Aug 14, 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.
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What are the most commonly searched types of Generative Ai jobs?

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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.

AI Agent Engineer

Goosehead

Westlake, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About Us

AtGooseheadInsurance,we'rechanging the way people think about insurance through a technology-driven, client-first approach. By combining a powerful digital platform with an expert agent network, we empower clients to find the best coverage for their needs-with transparency, efficiency, and trust at the core.

We'rebuilding a data-driven culture that puts analytics at the center of our decision-making. Our team works on high-impact projects across underwriting, marketing, client experience, and agent performance. Ifyou'reexcited to apply machine learning, statistics, and data engineering to solve meaningful business problems,we'dlove to hear from you.

Who You Are:

You are an AI-focused software engineer with a strong foundation in building production systems powered by large language models (LLMs), natural language processing (NLP), and intelligent automation. You thrive at the frontier of research and application, capable of turning cutting-edge models into secure, reliable, and scalable software. You're comfortable in both Fortune 100-style environments and startup-style innovation, and you want to grow your career into senior AI leadership roles.

Key Responsibilities:

  • Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval-augmented generation (RAG) pipelines to support both client-facing and agent-facing use cases.

  • Collaborate with data scientists, product managers, and engineers to translate ambiguous business problems into robust AI-driven solutions.

  • Develop and maintain scalable APIs and microservices in Python and/or Java that integrate AI capabilities into enterprise applications.

  • Implement best practices in MLOps, ensuring reproducibility, observability, and seamless deployment of AI models into production.

  • Drive innovation by staying current with advancements in generative AI, multi-agent frameworks, and reinforcement learning.

  • Contribute to the culture of security, compliance, and ethical AI adoption across the organization.

  • Mentor junior engineers and contribute to the growth of Goosehead's AI talent pipeline.

Required Qualifications

  • 3-9 years of professional experience in software engineering or applied AI.

  • Proficiency in Python and Java, with demonstrated experience building production-grade systems.

  • Strong background in NLP, LLMs, and generative AI, including prompt engineering, fine-tuning, and orchestration frameworks.

  • Hands-on experience with MLOps pipelines, containerization (Docker/Kubernetes), and CI/CD.

  • Experience working with both structured and unstructured datasets.

  • Strong problem-solving and communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Exposure to both Fortune 100 enterprises and startup environments, with the ability to balance rigor and speed.

  • Experience with cloud platforms (Azure, AWS, or GCP) and vector databases.

  • Familiarity with agentic AI frameworks, autonomous workflows, or multi-agent coordination systems.

  • Background in insurance, financial services, or other regulated industries.

  • Experience integrating AI into mission-critical, client-facing applications.

Benefits Summary

  • High quality voluntary health, vision, disability, life, and dental insurance programs

  • 401K Matching Plan

  • Employee Stock Purchase Plan

  • Paid holidays, vacation, and sick leave

  • Corporate sponsored programs to enhance employee physical, financial, mental,and emotional wellness

  • Financial Solution Program

Equal Employment Opportunity:

Goosehead is anequal-opportunityemployer andcomplies withall applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

To learn more about our job opportunities, apply here. We look forward to speaking with you!

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