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Llm Analyst Jobs (NOW HIRING)

WisEngineering

AI Data Analyst (LLM) - US Army Support ID: 92616 Location: Picatinny Arsenal, NJ More about this job > Description WisEngineering, LLC is currently interviewing candidates for an immediate or near ...

New

PenFed Credit Union

LLM Specialist

Mclean, VA · On-site

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs ... Analyze and communicate technical tradeoffs among commercial, open source, hosted, and enterprise ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

$93K - $100K/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 ...

eSimplicity

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/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 ...

Uncountable

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets. * Integration: Connect LLM capabilities with our core SQL databases and ...

Devitechs

WI · On-site

$80 - $120/hr

Monitor LLM performance through logs, metrics, and analytics dashboards. * Test model outputs for correctness, consistency, and hallucination risks. * Collaborate with product and design teams to ...

Bright Vision Technologies

LLM Prompt Specialist

$100K - $150K/yr

LLM Prompt Specialist - Remote Bright Vision Technologies is a technology consulting and software ... Exposure to product domains such as customer support, coding assistants, or analytics agents.

Unilever

Associate Manager Search & LLM PC

Hoboken, NJ · On-site

$88K - $133K/yr

... strategies, analyze performance, and continuously optimize brand visibility across AI-driven ... Key Responsibilities LLM Tracking, Reporting & Intelligence o Support tracking and reporting of AEO ...

Spellbrush

AI Anime Researcher - LLM

San Francisco, CA · On-site

... analyzing human-AI interaction logs. • Work on LLM infrastructure including building data processing backend, deterministic and checkpointable data loader, sharding, memory saving techniques ...

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Llm Analyst information

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$130K

How much do llm analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for llm analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is an LLM analyst?

An LLM Analyst is a professional who specializes in working with large language models (LLMs), such as GPT or similar AI systems. Their role typically involves evaluating, fine-tuning, and analyzing the performance of these models for specific business or research applications. LLM Analysts may also handle tasks like prompt engineering, data annotation, and quality assurance to ensure that the language model meets designated objectives and safety standards. This position requires a strong understanding of machine learning concepts, natural language processing (NLP), and data analysis.

What are the key skills and qualifications needed to thrive as an LLM analyst, and why are they important?

To thrive as an LLM Analyst, you need a solid background in data science, natural language processing (NLP), and machine learning, often supported by a relevant degree in computer science or a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience using large language models (LLMs) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with cross-functional teams. These skills are crucial for developing, evaluating, and optimizing LLM applications to deliver accurate and impactful AI solutions.

What are some common challenges faced by LLM analysts when working with large language models in a production environment?

LLM Analysts often encounter challenges such as optimizing model performance while balancing computational costs, ensuring data privacy and compliance, and troubleshooting unexpected model outputs. Collaborating closely with data engineers and machine learning researchers is essential to address issues like data pipeline bottlenecks and model drift. Additionally, LLM Analysts must continuously monitor and retrain models to maintain accuracy, which requires strong analytical and problem-solving skills in a fast-paced, collaborative environment.

What is the difference between Llm Analyst vs Data Scientist?

AspectLlm AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI firms, research labs focusing on language modelsVarious industries including tech, finance, healthcare; data-driven roles
Employer & Industry UsagePrimarily in AI and NLP-focused companiesBroadly across industries with data analysis needs

While both roles involve working with data and machine learning, an Llm Analyst specializes in language models and NLP applications, whereas a Data Scientist has a broader focus on data analysis, modeling, and insights across various domains.

What jobs can I do with a Llm analyst?

A LLM analyst typically works in roles related to analyzing large language models, such as AI research scientist, machine learning engineer, data scientist, or NLP specialist. These positions involve developing, evaluating, and improving language models, often requiring skills in programming, data analysis, and understanding of AI frameworks. Opportunities are available in tech companies, research institutions, and AI-focused organizations.
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Llm Analyst jobs near you
Infographic showing various Llm Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

AI Data Analyst (LLM) - US Army Support

WisEngineering
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about WisEngineeringexternal

Full-time

Posted 3 days ago

New

Job description

Job Openings >> AI Data Analyst (LLM) - US Army Support
AI Data Analyst (LLM) - US Army Support
Summary
Title: AI Data Analyst (LLM) - US Army Support ID: 92616 Location: Picatinny Arsenal, NJ
More about this job >
Description
 
WisEngineering, LLC is currently interviewing candidates for an immediate or near term position with our company in support of ongoing Department of Defense programs at Picatinny Arsenal in Dover, NJ. Candidate must be US Citizen with the ability to obtain a security clearance.  Successful candidate will be a direct (W2) employee of WisEngineering.  
 
Location: On Site Picatinny Arsenal, Dover, NJ (No remote option) 
Start Date: TBD 3-6 Weeks
 
 

WisEngineering is seeking a highly technical Data Analyst / Data Architect to support an upcoming opportunity for Department of Defense programs at Picatinny Arsenal. This is not a traditional business analyst role; it requires a hands-on technical professional who can maintain localized AI infrastructure, engineer data pipelines, and build robust business intelligence dashboards. You will bridge the gap between system administration, data engineering, and applied AI. Your primary focus will be supporting Army Vantage (Palantir) and locally hosted Large Language Models (LLMs), identifying and scraping web data to enrich these models, performing system administration duties for the AI environment, and building tracking metrics and reports for leadership.

KEY REQUIREMENTS

  • U.S. Citizenship REQUIRED due to DoD security clearance requirements

  • Ability to obtain and maintain a security clearance, if required.

  • This is an onsite position 5 days per week at Picatinny Arsenal, Dover, NJ. Remote work is not permitted.

  • Local Candidates Preferred - Limited relocation assistance may be available

CORE RESPONSIBILITIES

AI Administration & LLM Support

  • Local Infrastructure Management: Serve as the technical point of contact for locally hosted LLM environments utilizing Ollama and LM Studio, specifically supporting the Gemma model family. Perform troubleshooting and optimization for the local AI/LLM setup.

  • Data Identification & Web Scraping: Actively identify external and internal data gaps needed to train or ground the LLM. Write and maintain Python web-scraping scripts to safely harvest relevant web data.

  • Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring scalability and performance optimization.

  • Data Documentation: Ability to write clear and comprehensive documentation for datasets, workflows, scripts, and dashboards to ensure reproducibility and knowledge sharing. 

  • Security Compliance: Ensure all data ingestion, scraping, and LLM querying adhere to strict DoD guidelines.

Advanced Reporting & Prompt Engineering

  • Utilize Vantage (Palantir) to provide AI-enabled workflows and applications to integrate, analyze, and visualize data in real time, turning information into actionable insights.

  • Conceptualize and design highimpact use cases that turn raw, unstructured data (web pages, PDFs, freetext fields, etc) into actionable insights

  • Prompt Engineering: Develop, test, and refine complex prompts to extract deterministic summaries, classifications, and research insights from the LLM.

  • AI-Driven Research: Utilize the localized LLM environment to conduct deep-dive research and generate automated intelligence reports for program stakeholders.

  • Generate PDF/Word/HTML deliverables as needed using open source libraries.

Business Intelligence & Pipeline Engineering

  • Metrics & Dashboards: Design, build, and maintain high-impact performance metrics and interactive dashboards using Microsoft Power BI.

  • Data Tracking: Configure and maintain Microsoft Lists and Excel/SharePoint environments to track program data, ensuring seamless integration with Power BI.

  • Data Pipeline Automation: Write and maintain Python 3 scripts to pull, clean, and transform data from varied sources (Excel, CSV, JSON, Markdown, APIs, and scraped web content) into structured data models.

REQUIRED SKILLS & QUALIFICATIONS

  • Core Languages & Tools: Proficient in Python (for data manipulation and web scraping) and Power BI (for advanced DAX data modeling and visualization).

  • AI/LLM Frameworks: Hands-on experience configuring and managing Ollama, LM Studio, and open-source models like Gemma.

  • Microsoft Ecosystem: Strong familiarity with Microsoft Lists, SharePoint, and Power Platform integration.

  • Data Wrangling: Proven ability to scrape web data and clean unstructured text/data formats (PDFs, APIs, free-text).

  • Education/Experience: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related technical field, paired with 3+ years of relevant technical experience (or equivalent combined education and experience).

  • Military Experience: A plus.

WHY JOIN WISENGINEERING?

At WisEngineering, we offer competitive salaries, comprehensive benefits, and an excellent career-building atmosphere. Our diverse range of projects provides exciting challenges in cutting-edge technologies, and we support our employees with on-the-job training and a smooth transition into new roles.

WisEngineering is an Equal Opportunity/Affirmative Action Employer committed to diversity and inclusion. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform essential job functions. See Website for additional information.

If you meet the qualifications and are excited about the possibility of joining our team, we encourage you to apply today!

 
 
 
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