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Generative Ai Volunteer Jobs (NOW HIRING)

Azumo

AI Software Engineer - Remote

AI Software Engineer (Generative AI) Azumo , a leading AI Development company , is seeking a highly ... We believe in giving back to our community and will volunteer our time to philanthropy, open-source ...

Eliassen Group

Senior AI Engineer

Almont, CO · On-site

$80 - $90/hr

Build and integrate solutions using Generative AI, LLMs, and modern AI frameworks. * Collaborate ... voluntary benefits including life and disability insurance, 401(k) with match, and sick time if ...

Holtec International

AI Engineer

Camden, NJ · On-site

$120K - $140K/yr

Design, develop, and deploy Generative AI solutions using modern LLMs and enterprise AI platforms ... Employee support and voluntary benefits, including an Employee Assistance Program and optional ...

Nisum

ML & AI Platform Engineer

San Jose, CA · On-site

$140K - $150K/yr

Hands-on experience with Generative AI applications, LLMs, RAG systems, and agentic AI frameworks ... Volunteerism Pay - We believe in giving back and in the US, our employees are eligible for up to 40 ...

Genesis10

IT AI Architect - 100% Remote

Plainview, NY · On-site

$105.50 - $115.50/hr

Lead the deployment of Generative AI solutions and enterprise copilots * Collaborate with Security ... Voluntary Hospital Indemnity (Critical Illness & Accident) * Voluntary Term Life Insurance * 401K

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 ...

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Generative Ai Volunteer information

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How much do generative ai volunteer jobs pay per hour?

As of Jul 13, 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
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Generative Ai Volunteer jobs near you
Generative AI Solutions Developer

Generative AI Solutions Developer

KX Inc.

New York, NY • Hybrid

Other

Medical

Re-posted 10 days ago

Job description

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 

Overview Of The Role

Own the end-to-end technical design for large-language-model (LLM) and generative-AI solutions across NVIDIA, AWS, Azure and GCP stacks. You will translate business use-cases into secure, scalable architectures, lead reference implementations, and mentor delivery teams for enterprise deployments-especially in financial-services environments.

Key Responsibilities 

  • Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
  • Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO & carbon impact).Build production pipelines in Python (FastAPI, LangChain, Ray, Triton, Airflow).
  • Establish security and compliance controls (encryption, IAM, SOC 2, FINRA,GDPR).
  • Support pre-sales and proofs-of-concept with capital-markets clients.

Skills 

Programming

  • Python (must-have)
  • JavaScript / TypeScript (for web + full-stack AI apps)
  • Writing clean, testable code

Math & ML Basics

  • Linear algebra (vectors, matrices, embeddings)
  • Probability & statistics
  • ML concepts: overfitting, loss functions, training vs inference

Data Skills

  • Data cleaning & preprocessing
  • Pandas, NumPy
  • SQL basics

Essential Experience

  • 10-15 yrs building cloud-native data or ML platforms on AWS, Azure and/or GCP. Deep expertise in Python plus one of Go, Java
  • or C++.Hands-on with embedding models, tokenizer optimisation, prompt orchestration and OpenAI/Anthropic APIs. Prior delivery of enterprise Gen-AI systems (risk analytics, chatbots, document generation etc.).Solid grounding in distributed systems (K8s, service mesh, Kafka, Redis, GPU scheduling).

Preferred Qualifications

  • Experience with kdb+/q, ClickHouse or similar time-series stores. Contributions to open-source AI frameworks or NVIDIA NGC containers. Working knowledge of SRE/FinOps best practice.

Location & Workplace Type

This position takes on a Hybrid working model based in Ontario, Canada.

Why Choose KX  

Data Driven: We lead with instinct and follow fact. 

Naturally Curious: We lean in, listen and learn fast. 

All In: We take ownership, take on challenges and give it our all.  

Benefits 

  • Competitive Salary
  • Individually tailored training and skills development
  • Private healthcare package and Employee Assistance Programme
  • Enhanced maternity and paternity package
  • Wellness Days and Volunteer Days
KX logo

About KX

Sourced by ZipRecruiter

Industry

Manufacturing

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

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