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Remote Large Language Model Llm Jobs in Raleigh, NC

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

  • Retirement

Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows * Experience with Power BI, Tableau or other visualization tools ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... About the team and what we'll build together Kobie runs some of the largest loyalty programs in the ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. * Be proficient in working with big data technologies and tools like ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. * Be proficient in working with big data technologies and tools like ...

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Creates and delivers data mapping specifications and data models for large reporting platforms ... DE generating Data Definition Language (DDL) scripts (forward-engineer) and Data Manipulation ...

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... learning, Natural Language Processing, and/or LLM implementations in test development and ... Learn more about The Association on LinkedIn and our Career Site. #LI-Remote #GreatPlacetoWork We ...

Strong proficiency with data manipulation language including optimization techniques. Strong ... Ability to design and work with complex data models. Experience with vector databases and semantic ...

Strong proficiency with data manipulation language including optimization techniques. Strong ... Ability to design and work with complex data models. Experience with vector databases and semantic ...

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Showing results 21-40

Remote Large Language Model Llm information

See Raleigh, NC salary details

$14

$23

$37

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

As of Aug 16, 2026, the average hourly pay for remote large language model llm in Raleigh, NC is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $28.27 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Raleigh, NC?

The most popular types of Large Language Model Llm jobs in Raleigh, NC are:

What are popular job titles related to Remote Large Language Model Llm jobs in Raleigh, NC?

For Remote Large Language Model Llm jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Raleigh, NC look for?

The top searched job categories for Remote Large Language Model Llm jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Large Language Model Llm jobs?

Cities near Raleigh, NC with the most Remote Large Language Model Llm job openings:

Infographic showing various Remote Large Language Model Llm job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $49,211 per year, or $23.7 per hour.

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.   

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutionsto address complex business challenges with an emphasis on the responsible use of AI
  • Architect and optimize complex ETL processesand data pipelines usingDatabricks(Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
  • Evaluate emerging trendsin ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
  • Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
  • Implement advanced data modelingtechniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
  • Build and maintain executive-level dashboardsand semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
  • Partner with product and business leadersto translate complex business requirements into robust, automated data integration solutions
  • Lead technical coordinationwithin a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • Bachelor's degree or equivalent experience
  • 6 years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
  • 5 years of Cloud experience (Azure, GCP, AWS, or OCI)
  • 5 years of experience in programming languages such as Python, Java, etc.
  • 4 years of hands-on experience usingDatabricks(Spark, SQL, Python, notebooks) or other majorETL platformsto build and optimize large-scale data pipelines
  • 4 years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL
  • 1 years of experience delivering AI-driven analytics or data solutions

Preferred Qualifications:

  • Healthcare industry experience, specifically in clinical or real-time analytics
  • Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments
  • Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows
  • Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
  • Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
  • Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability

All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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