ZipRecruiter

Log In

2

Remote Llm Researcher Jobs in Tennessee (NOW HIRING)

Humana

Lead, Offensive Security

Nashville, TN · Remote

The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ... This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ...

Humana

Lead, Offensive Security

Nashville, TN · Remote

The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ... This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ...

Ultimate Knowledge

AI Workflow Engineer

Nashville, TN · Remote

This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system ... Requirements Required: 2-3+ years of hands-on experience building with AI/LLM systems in production ...

Crowe LLP

Tax Manager, Healthcare

Nashville, TN · On-site +1

$95K - $195K/yr

Research and consult on tax matters to optimize tax strategies * Manage the tax team in the ... Masters in Taxation or LLM preferred * CPA or JD required * 5+ years of public accounting or ...

All JobsLlm Researcher JobsRemote Llm Researcher JobsRemote Llm Researcher Jobs in Tennessee

Remote Llm Researcher information

What is a remote LLM researcher?

A Remote LLM Researcher is a professional who studies and develops large language models (LLMs), such as GPT or BERT, while working from a location outside of a traditional office setting. Their work typically involves conducting experiments, analyzing data, improving model architectures, and publishing findings in the field of natural language processing (NLP). Remote LLM Researchers often collaborate with colleagues online, use cloud-based computing resources, and contribute to advancements in AI language technologies. This role requires strong programming skills, a background in machine learning, and the ability to work independently in a distributed team environment.

How do remote LLM researchers typically collaborate with cross-functional teams given their distributed work environment?

Remote LLM Researchers often work closely with data scientists, machine learning engineers, and product managers via virtual collaboration tools such as Slack, Zoom, and GitHub. Regular meetings, shared documentation, and project management platforms help maintain clear communication and alignment on research goals. Being proactive in sharing updates, seeking feedback, and participating in code reviews is essential for seamless teamwork. This collaborative approach ensures research findings can be effectively integrated into products and services, despite the physical distance.

What are the key skills and qualifications needed to thrive as a remote LLM researcher, and why are they important?

To thrive as a Remote LLM Researcher, you need a strong background in machine learning, natural language processing, and deep learning, typically supported by an advanced degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience working with large language models (LLMs), and knowledge of distributed computing tools are commonly required. Outstanding problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for remote collaboration and research innovation. These skills enable effective development, evaluation, and deployment of advanced language models in a distributed team environment.

What is the difference between Remote Llm Researcher vs Remote Data Scientist?

AspectRemote Llm ResearcherRemote Data Scientist
CredentialsAdvanced degrees in AI, NLP, or related fields; research experienceDegree in Data Science, Statistics, or Computer Science; often includes certifications
Work EnvironmentResearch-focused, often in AI labs or tech companies, remote options availableData analysis, modeling, and visualization tasks, remote or on-site
Industry UsageAI research, NLP development, machine learning innovationBusiness analytics, predictive modeling, data-driven decision making

Remote Llm Researchers focus on developing and improving large language models through research and experimentation, often in AI labs. Remote Data Scientists analyze data to generate insights and build predictive models. While both roles require strong technical skills, Remote Llm Researchers are more research-oriented, whereas Remote Data Scientists focus on applying data techniques to solve business problems.

What are the most commonly searched types of Llm Researcher jobs in Tennessee?

The most popular types of Llm Researcher jobs in Tennessee are:

What are popular job titles related to Remote Llm Researcher jobs in Tennessee?

For Remote Llm Researcher jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Llm Researcher jobs in Tennessee look for?

The top searched job categories for Remote Llm Researcher jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Llm Researcher jobs?

Cities in Tennessee with the most Remote Llm Researcher job openings:

Remote Llm Researcher jobs near you

Distribution Grid Modeling and Analytics - Engineer Staff III

Knoxville, TN • On-site, Remote

Electric Power Research Institute, Inc.
1 - 5K employees
Learn more about Electric Power Research Institute, Inc.external

$92K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Title:Distribution Grid Modeling and Analytics - Engineer Staff IIILocation:Knoxville, TNJob Summary and Description:

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.

The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.

This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Key Responsibilities:

  • Makes significant contributions to advanced modeling, simulation, and analytics projects

  • Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges

  • Evaluate emerging technologies and applications through analytical and field-based studies

  • Contribute to technical publications, conference papers, webinars, and industry presentations

  • Support proposal development and strategic research planning activities

  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption

  • Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations

  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration

  • Conduct model verification and validation activities using utility measurement data

  • Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

  • Strong knowledge of power system fundamentals, specifically distribution systems

  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages

  • Experience with distribution system model development, validation, and verification

  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources

  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation

  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD

  • Experience applying AI, machine learning, or advanced analytics techniques to power system applications

  • Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable

  • Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

  • Bachelor's degree in a technical field or equivalent experience

  • Preferred MS or PhD in Electrical Engineering with Power System emphasis

  • Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Location:

  • This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.

The salary range for this position is $92,000 USD to $101,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com

Apply