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Volunteer Large Language Model Llm Jobs in Indiana

Principal AI Engineer

Carmel, IN ยท On-site

$168K - $193K/yr

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to ... Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt ...

Distinguished Engineer

Indianapolis, IN ยท On-site

$243K - $364K/yr

... large language models (LLMs), distributed systems, and event-driven architectures. * Define ... LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality ...

Distinguished Engineer

Indianapolis, IN ยท On-site

$243K - $364K/yr

... large language models (LLMs), distributed systems, and event-driven architectures. * Define ... LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality ...

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM ... Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework ...

Google AI Lead Architect

Indianapolis, IN ยท On-site

$52.75 - $72.50/hr

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

Showing results 21-40

Volunteer Large Language Model Llm information

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 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.

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 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 the most commonly searched types of Large Language Model Llm jobs in Indiana?

The most popular types of Large Language Model Llm jobs in Indiana are:

What are popular job titles related to Volunteer Large Language Model Llm jobs in Indiana?

For Volunteer Large Language Model Llm jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Volunteer Large Language Model Llm jobs in Indiana look for?

The top searched job categories for Volunteer Large Language Model Llm jobs in Indiana are:

What cities in Indiana are hiring for Volunteer Large Language Model Llm jobs?

Cities in Indiana with the most Volunteer Large Language Model Llm job openings:

Principal AI Engineer

MISO

Carmel, IN โ€ข On-site

$168K - $193K/yr

Full-time

Retirement, PTO

Re-posted 6 days ago


Job description

Help shape the future of energy through AI-driven insights!
At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We build and maintain advanced analytical assets that detect, investigate, and ultimately help prevent market risk events, strengthening reliability for 45 million people. This is more than an AI role. It's an opportunity to shape the future of energy markets. Your work will directly impact how risks are detected, analyzed, and prevented, helping ensure a reliable and resilient power grid.
We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting-edge AI solutions that unlock deeper insights into market behavior and drive innovation across the energy sector. You won't just build models, you'll build mission-critical intelligence that powers one of the most important infrastructures in the world.
Your responsibilities as our Principal AI Engineer will include:
  • Designing, building, and deploying AI-driven solutions, including ML models, generative AI applications, and intelligent agents.
  • Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data.
  • Building scalable infrastructure and platforms to train and serve models at enterprise scale.
  • Prototyping and delivering minimal viable products (MVP), proofs of concept, and production-ready AI solutions.
  • Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and batch pipelines.
  • Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Vertex AI).
  • Applying AI to anomaly detection and market behavior analysis across electrical markets
  • Driving insights from unstructured sources.
  • Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques.

Experience needed for our Principal AI Engineer include:
  • A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or related field. Master's degree preferred.
  • 3+ years of real-world experience building AI.
  • 8-10 years of experience in building machine learning solutions in a professional environment.
  • Demonstrated experience across multiple disciplines such as:
    • Predictive modeling
    • Natural language processing
    • Data pipelines and automation
    • API development and integration
    • Data visualization and segmentation
    • Applied mathematical modeling
  • Proven ability to take ideas from concept to scalable production solutions.
  • Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt engineering, agent frameworks).

Some of the technical proficiencies needed for our Principal AI Engineer include:
  • Apache Spark, Databricks, or Synapse
  • Azure Data Factory & Azure Machine Learning Studio
  • MLflow and model lifecycle management
  • OpenAI and/or Hugging Face ecosystems
  • SQL and database querying
  • Docker and containerized deployments
  • R and Python (required)

Appropriate level will be determined based upon experience and knowledge.
Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future - it's what our immensely hardworking and dedicated team does every day.
The base salary compensation range being offered for this role is $168,000 - $193,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.
Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.
#DiscoverMISO #MISOCareers #lifeatMISO #weareMISO
MISO, What We Do
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#LI-JH1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.