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Volunteer Large Language Model Llm Jobs (NOW HIRING)

Peraton

Large Language Model Specialist

$104K - $166K/yr

Responsibilities The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... efficiency, and support strategic initiatives across all departments. This role partners with ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

Oxford Global Resources

AI Architect

OR · Remote

Artificial and Large Language Model Architect As an AI & LLM Architect , you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

$104K - $145K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

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How much do volunteer large language model llm jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for volunteer large language model llm 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 volunteer large language model LLM?

Volunteer Large Language Model (LLM) roles involve individuals contributing their time and expertise to support the development, testing, or improvement of large language models. Volunteers may help by annotating data, testing models for biases, providing feedback, or assisting with community moderation and outreach. This work is important for advancing the accuracy, fairness, and usefulness of language models, and often takes place within open-source or academic projects. Volunteers typically do not receive monetary compensation but gain experience and contribute to impactful technology.

What skills and qualifications are needed to thrive as a volunteer large language model LLM?

To thrive as a Volunteer Large Language Model LLM, you need a deep understanding of natural language processing, machine learning principles, and strong programming skills, typically supported by education in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, experience with large-scale data sets, and knowledge of cloud platforms are commonly required. Adaptability, collaboration, and effective communication are important soft skills for working in open-source or community-driven AI projects. These skills are crucial to developing, refining, and responsibly deploying advanced language models in dynamic and collaborative environments.

What are common challenges faced by volunteer large language model LLM contributors, and how can they be addressed?

Volunteer LLM contributors often encounter challenges such as coordinating with a distributed team, managing their time effectively alongside other commitments, and staying updated on rapidly evolving AI technologies. Collaboration tools like shared code repositories and communication platforms help streamline teamwork and reduce miscommunication. To address these challenges, it's helpful to set clear expectations, regularly participate in team meetings, and proactively seek feedback from experienced contributors. This approach not only fosters a supportive environment but also enhances your learning experience and impact.

What is the difference between Volunteer Large Language Model Llm vs Data Annotator?

AspectVolunteer Large Language Model LlmData Annotator
Required credentialsNone or basic technical knowledgeBasic computer skills, sometimes specific software training
Work environmentRemote or online, collaborativeOffice or remote, task-specific
Industry usageAI development, NLP projectsData labeling, machine learning training
Common search intentUnderstanding AI model training rolesData labeling and annotation roles

Volunteer Large Language Models (LLMs) are involved in training and improving AI language models, often through collaborative, volunteer efforts. Data Annotators focus on labeling data to train machine learning models. While both roles support AI development, LLM volunteers typically contribute to model training directly, whereas Data Annotators prepare data for such training.

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Volunteer Large Language Model Llm jobs near you
Infographic showing various Volunteer Large Language Model Llm job openings in the United States as of September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Data Scientist - Large Language Model (LLM)

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees
Learn more about Savianceexternal

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Saviance is a technology company specializing in professional services and consulting with a focus on natural language processing innovation. They are seeking a Data Scientist to develop and enhance large language model applications, specifically in the healthcare industry, collaborating with research and engineering teams to optimize language models.
Responsibilities:
• Reinforcement Learning Expertise: Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• NLP and Transformers Mastery: Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Model Development: Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Data Structures and Algorithms: Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Unix Proficiency: Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Python Development: Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Prompt Engineering: Efficient and intensive prompt engineering expertise.
• LLM Infrastructure and engineering: Experience with various options for setting up the LLM infrastructure in the cloud.
Qualifications:
Required:
• Hold a Master's or Ph.D. in computer science or a related field.
• Present a proven track record of scientific publications in reinforcement learning, showcasing expertise in various RL methods.
• Demonstrate in-depth understanding and hands-on experience and proven scientific publications with transformers and attention networks for NLP, including familiarity with the Hugging Face Transformers library and models.
• Demonstrated ability to fine tune language models in multi-GPU environment.
• Possess a strong grasp of data structures and algorithms, with the ability to apply them effectively to solve intricate NLP problems.
• Exhibit proficiency in Unix-based systems for efficient data processing and development tasks.
• Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI.
• Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
• Showcase exceptional problem-solving skills and a creative approach to tackling complex NLP challenges.
• Possess strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.
Preferred:
• Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Efficient and intensive prompt engineering expertise.
• Experience with various options for setting up the LLM infrastructure in the cloud.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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