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Volunteer Openai Jobs (NOW HIRING)

Knak Digital

AI Engineer

Becket, MA · Remote

OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models * Working knowledge of RAG ... Voluntary benefits (Aflac, MetLife Pet, Legal Services, DIGI, Farmers auto/home) * 401K All ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

You'll work with modern AI and automation tools such as OpenAI , Anthropic Claude , LangChain ... Volunteering Time: Participate in our volunteer program with 4 paid days annually to contribute to ...

Boats Group

AI Software Engineer

Miami, FL · On-site

You'll work with modern AI and automation tools such as OpenAI , Anthropic Claude , LangChain ... Volunteering Time: Participate in our volunteer program with 4 paid days annually to contribute to ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

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Volunteer Openai information

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How much do volunteer openai jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for volunteer openai 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 the key skills and qualifications needed to thrive as a Volunteer at OpenAI, and why are they important?

To thrive as a Volunteer at OpenAI, you generally need a background in computer science, machine learning, or a related field, supported by relevant academic or professional experience. Familiarity with programming languages such as Python, AI frameworks like TensorFlow or PyTorch, and collaborative platforms like GitHub is often expected. Strong communication, teamwork, and problem-solving skills help volunteers contribute effectively to complex projects and diverse teams. These abilities are crucial for advancing OpenAI's mission through meaningful collaboration and innovative research.

What are Volunteer OpenAI positions?

Volunteer OpenAI positions are unpaid roles in which individuals contribute their time and skills to support OpenAI's mission of ensuring artificial intelligence benefits humanity. Volunteers may work on projects such as community moderation, educational outreach, technical support, or research assistance, depending on their expertise and OpenAI's needs. These roles offer opportunities to gain experience, collaborate with AI professionals, and make a positive impact in the field of artificial intelligence.

How do volunteers at OpenAI typically collaborate with full-time staff and other contributors?

Volunteers at OpenAI often work closely with full-time researchers, engineers, and project managers on specific initiatives, such as open-source projects, research support, or community outreach. Collaboration usually occurs through regular team meetings, online communication platforms, and shared documentation tools. Volunteers are encouraged to actively participate in discussions, contribute ideas, and seek mentorship from experienced team members. This collaborative environment not only fosters professional growth but also ensures that volunteer contributions are fully integrated into OpenAI's larger mission.

What is the difference between Volunteer Openai vs OpenAI Research Intern?

AspectVolunteer OpenaiOpenAI Research Intern
Required CredentialsTypically no formal credentials, open to volunteers of all backgroundsUsually requires a relevant degree or academic background in AI or related fields
Work EnvironmentRemote or in-person volunteer settings, flexible hoursStructured internship program, often remote with specific project assignments
Employer & Industry UsageNon-profit or community-driven AI projects, open-source contributionsPart of OpenAI's official research team, focused on AI development and innovation

Volunteer Openai roles are generally open to individuals without formal credentials and focus on community contributions, while OpenAI Research Intern positions are more structured, requiring relevant academic backgrounds and offering a formal internship experience within OpenAI's research team.

What cities are hiring for Volunteer Openai jobs? Cities with the most Volunteer Openai job openings:
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What states have the most Volunteer Openai jobs? States with the most job openings for Volunteer Openai jobs include:
What job categories do people searching Volunteer Openai jobs look for? The top searched job categories for Volunteer Openai jobs are:
Volunteer Openai jobs near you

AI Engineer

Knak Digital

Becket, MA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago

Job description

AI Engineer Location: Remote (US only)

Must be authorized to work in the US and obtain a Public Trust Clearance.

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Proficiency in both Python and JavaScript
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance

Benefits:

  • Medical insurance (Aetna, Anthem, UnitedHealthcare, Kaiser, and more)
  • Dental insurance (Aetna, Delta Dental, Guardian, MetLife)
  • Vision insurance (Aetna/EyeMed, VSP)
  • Health Savings Account (HSA)
  • Life and AD&D insurance (MetLife)
  • Short-Term and Long-Term Disability (The Hartford)
  • Employee Assistance Program (EAP)
  • Health Advocate
  • Commuter Benefits (HealthEquity)
  • Voluntary benefits (Aflac, MetLife Pet, Legal Services, DIGI, Farmers auto/home)
  • 401K

All interviews will be conducted through video.