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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 ...

TEKsystems

Art Director, Gen AI

San Francisco, CA

$90 - $100/hr

Generative AI Image Creation & Process Development * Personally generate and prompt engineer ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Berkadia

Product Manager - AI

Midvale, UT · Hybrid

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Azumo

AI Agent Systems Architect - Remote

San Francisco, CA · On-site

$180 - $300/hr

At Azumo, you'll thrive if you enjoy the full lifecycle of Generative AI development--from ideation ... We believe in giving back to our community and will volunteer our time to philanthropy, open-source ...

Azumo

AI Agent Systems Architect - Remote

At Azumo, you'll thrive if you enjoy the full lifecycle of Generative AI development-from ideation ... We believe in giving back to our community and will volunteer our time to philanthropy, open-source ...

Berkadia

Product Manager - AI

Ambler, PA · Hybrid

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Berkadia

Product Manager - AI

New York, NY · Hybrid

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Charles Schwab

Technical Product Manager - AI

Austin, TX

$165K - $191K/yr

Translate business outcomes into clear AI/ML and generative AI problem statements, technical ... Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for ...

Berkadia

Product Manager - AI

Midvale, UT · On-site

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Berkadia

Product Manager - AI

Ambler, PA · On-site

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Berkadia

Product Manager - AI

New York, NY · On-site

Working knowledge of generative AI application patterns and secure enterprise integration ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Holtec

AI Engineer

Camden, NJ · On-site

$120 - $140/hr

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 ...

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 ...

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 ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184 - $230/hr

Experience building and deploying Generative AI applications. * Experience with microservices ... Paid Volunteer Time * Employee Resource Groups EEO/VEVRAA #LI-CP1 #LI-HYBRID #J-18808-Ljbffr

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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 26, 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 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.

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 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.

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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 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Generative AI Solutions Developer

KX Inc.

New York, NY • Hybrid

Full-time

Medical

Re-posted 24 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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