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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 ...

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines, physics simulation solvers, mesh tools, and analytics APIs to enable end-to-end automation * Establish ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA · On-site

Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.Proven experience in leading and mentoring teams.

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Llm Analyst information

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$73.3K

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How much do llm analyst jobs pay per year?

As of Jun 9, 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 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 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 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 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.
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Llm Analyst jobs near you
Infographic showing various Llm Analyst job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
LLM Data Quality Analyst

LLM Data Quality Analyst

US Tech Solutions

Sunnyvale, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Sunnyvale, CA

Contract

Job Description:

  • We are seeking a highly skilled data quality expert with a strong understanding of Large Language Models (LLMs) to join our team as a Quality Analyst for Human-created Data.

  • In this role, you will liaise closely with the highly technical modeling teams as well as vendor leads, understand the data needs of LLM modeling teams, and ensure that the data produced by expert content creators meets the highest quality standards.

  • You’ll need a strong ability to understand LLM use cases, have a nuanced understanding of good versus great content, and be able to use quantitative and qualitative techniques to analyze LLM datasets.

Responsibilities:

  • Ensure high quality during task development:

  • Define data requirements based on a deep understanding of the modeling team goals and study of model loss patterns.

  • Design detailed instructions for content creator teams, illustrating nuanced differences with clear examples.

  • Rapidly iterate with content-production vendors on small batches of data to arrive at desired data quality.

  • Measure and demonstrate data quality during data collection:

  • Drive processes to deliver benchmark datasets for assessing data quality.

  • Benchmark vendor data quality against competitor models.

  • Use quantitative techniques to analyze vendor-produced data to assure high quality and drive rater pool optimization.

  • Audit datasets for quality issues and develop tools for accelerating qualitative analysis.

  • Use modeling and experimentation techniques to demonstrate data impact and identify blind spots.

  • Communicate on data quality:

  • Send out regular reports to project stakeholders on data quality.

  • Track key metrics such as iteration time and vendor quality audit results.

  • Author best practices and guideline documents (e.g. guidelines for teams wanting to work with vendors for human data, best practices for instruction design, etc).

Experience:

  • 3+ years of experience in Technical Writing, Quality Assurance or a related field.

  • Excellent writing and editing skills, with the ability to adapt to different styles and tones.

  • Strong analytical and problem-solving skills.

  • Ability to work independently and as part of a team.

Skills:

  • Data Quality

  • LLM processes like Pre-training, RLHF, SFT, Evals

Education:

  • Bachelor's degree in English, Creative Writing, Linguistics, Science, Computer Science, or a related field.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com (http://www.ustechsolutionsinc.com) .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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