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Volunteer Ai Agent Jobs (NOW HIRING)

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 ...

Sr. AI Agent / Prompt Engineer

Irvine, CA ยท On-site

$132K - $204K/yr

Description Job Title : Sr. AI Agent / Prompt Engineer Hyundai Capital America (HCA) helps people ... We're proud to support our communities through volunteerism, philanthropy, and engaged Employee ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Software Engineer, AI

Charleston, WV ยท Remote

$125K - $145K/yr

Familiarity with an AI agent framework (e.g., LangChain, CrewAI, AutoGPT, MetaGPT) * Good ... Volunteer leave. * Charitable donation matching. * Tuition reimbursement. * Gym membership ...

Software Engineer, AI

$125K - $145K/yr

Familiarity with an AI agent framework (e.g., LangChain, CrewAI, AutoGPT, MetaGPT) * Good ... Volunteer leave. * Charitable donation matching. * Tuition reimbursement. * Gym membership ...

Position CallMiner Omni Agent as a differentiated AI powered solution, articulating clear business ... volunteer day, paid maternity, and parental leave, and more. We are an Equal Opportunity Employer ...

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Volunteer Ai Agent information

See salary details

$8

$19

$33

How much do volunteer ai agent jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for volunteer ai agent 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 are Volunteer AI Agents?

Volunteer AI Agents are artificial intelligence systems or software programs designed to assist non-profit organizations, community projects, or social initiatives without monetary compensation. These AI agents can perform various tasks such as answering questions, managing data, or supporting online communities. By automating repetitive or time-consuming tasks, they help organizations focus more on their core missions and serve more people efficiently. Volunteers or organizations typically set up and monitor these AI agents to ensure they operate ethically and effectively.

What are the key skills and qualifications needed to thrive as a Volunteer AI Agent, and why are they important?

To thrive as a Volunteer AI Agent, you need a solid understanding of artificial intelligence concepts, problem-solving abilities, and often a background in computer science or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), basic programming languages like Python, and collaboration tools is typically required. Strong communication, adaptability, and a willingness to learn are essential soft skills for effective teamwork and project contributions. These skills and qualities ensure that Volunteer AI Agents can efficiently support projects, adapt to evolving technologies, and collaborate across diverse teams for impactful outcomes.

How do Volunteer AI Agents typically collaborate with non-technical team members and stakeholders?

Volunteer AI Agents often work closely with non-technical stakeholders such as project managers, community organizers, or subject matter experts to understand project goals and ensure that AI solutions are user-friendly and relevant. Effective communication is essential, as you may need to translate complex technical concepts into accessible language and gather feedback to refine your models. Collaboration tools and regular check-ins help keep everyone aligned, and being proactive in seeking input ensures the AI solutions truly meet the needs of the organization or cause.

What is the difference between Volunteer Ai Agent vs Data Analyst?

AspectVolunteer Ai AgentData Analyst
Required CredentialsBasic technical skills, familiarity with AI toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentVolunteer settings, non-profit projects, remote or flexibleCorporate, consulting, or research environments, often office-based
Employer & Industry UsageNon-profit organizations, AI startups, research projectsBusinesses, government agencies, consulting firms
Search & Comparison IntentUnderstanding volunteer AI roles, entry-level AI workData analysis careers, job requirements, industry roles

The Volunteer Ai Agent typically involves entry-level AI-related tasks in volunteer or non-profit settings, requiring basic technical skills. In contrast, Data Analysts usually hold a degree and work in more formal corporate or research environments, focusing on data interpretation and reporting. While both roles involve working with data and AI tools, their work settings, credentials, and industry applications differ significantly.

More about Volunteer Ai Agent jobs
What cities are hiring for Volunteer Ai Agent jobs? Cities with the most Volunteer Ai Agent job openings:
What are the most commonly searched types of Ai Agent jobs? The most popular types of Ai Agent jobs are:
What states have the most Volunteer Ai Agent jobs? States with the most job openings for Volunteer Ai Agent jobs include:
Infographic showing various Volunteer Ai Agent job openings in the United States as of July 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

AI Agent Engineer

Goosehead

Westlake, OH โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 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!