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Generative Ai Volunteer Jobs (NOW HIRING)

InterImage

AI/ML Software Developer

Arlington, VA · On-site

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

IDR, Inc.

Senior AI/ML Engineer

Saint Paul, MN · On-site +1

$75 - $78/hr

Design, build, and deploy scalable generative AI and machine learning solutions tailored for health ... Submission of this information is voluntary and refusal to provide it will not subject you to any ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI · On-site

$35K - $56K/yr

... generative AI models-that enhance decision-making and business processes. This 6 month co-op ... days for vacation, holidays, volunteering, and personal time), paid leave for parents and ...

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

InterImage

Software Engineer

Arlington, VA · On-site

Gain hands-on exposure to cutting-edge Generative AI capabilities and real-world applications ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

NTT DATA

Senior AI Security Advisor - Hybrid

Boston, MA · Hybrid

$116K - $190K/yr

Ensures safe usage of generative models, including prompt security, data protection, and monitoring ... voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and ...

Azumo

Data Scientist, Applied AI - Remote

... Generative AI space, this role is perfect for you. We are seeking a skilled professional with ... We believe in giving back to our community and will volunteer our time to philanthropy, open-source ...

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Generative Ai Volunteer information

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How much do generative ai volunteer jobs pay per hour?

As of Jun 12, 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, and why are they important?

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 are Generative AI Volunteers?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
AI/ML Software Developer

AI/ML Software Developer

InterImage

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

**Secret OR Top Secret Clearance Required**
We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.
You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.
Key Responsibilities
Full Stack Development
  • Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
  • Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
  • Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
  • Architect and implement RESTful and/or GraphQL APIs
  • Ensure application performance, scalability, and security across the stack

Database & Data Engineering
  • Design, develop, and optimize relational and/or NoSQL database systems
  • Create efficient data models and schemas to support large-scale applications
  • Develop scripts and pipelines to ingest, transform, and manage data flows
  • Troubleshoot performance bottlenecks and ensure data integrity
  • Work with large, complex datasets to enable analytics and AI use cases

Generative AI / LLM Integration
  • Build, test, and deploy LLM-powered applications and workflows
  • Integrate Generative AI capabilities into existing platforms and user experiences
  • Evaluate and assess LLM outputs for performance, accuracy, and usability
  • Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
  • Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases

System Design & Architecture
  • Contribute to the design of scalable, distributed system architectures
  • Collaborate with engineers to integrate AI components into enterprise environments
  • Balance tradeoffs between performance, cost, and scalability
  • Support CI/CD pipelines and DevSecOps best practices for deployment

Client & Mission Support
  • Translate ambiguous requirements into technical solutions
  • Help stakeholders understand evolving AI/technology options
  • Provide guidance on best practices for integrating AI into business workflows

Requirements
Required Qualifications
  • Strong experience developing Python applications from scratch, including testing and deployment
  • Hands-on experience with full stack development (front-end + back-end)
  • Proficiency with database design and management (SQL and/or NoSQL)
  • Experience with data wrangling, transformation, and scripting for data pipelines
  • Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
  • Experience building and consuming APIs
  • Understanding of software development best practices (version control, testing, CI/CD)

Preferred / Nice-to-Have Qualifications
  • Experience deploying and managing LLMs locally and in cloud environments
  • Hands-on experience with fine-tuning models and integrating them into production systems
  • Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
  • Knowledge of prompt engineering and content filtering techniques
  • Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
  • Experience with model distillation and optimization
  • Exposure to knowledge graphs and graph databases (e.g., Neo4j)
  • Experience working in cloud environments (AWS, Azure, or GCP)

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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