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Entry Level Llm Ai Jobs (NOW HIRING)

Pwc

AIT - AI Quality Assurance Senior Associate

Boston, MA

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt/LLM response testing. - Applying automation, test documentation, and risk-based testing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Quality Assurance Senior Associate

Tampa, FL

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt/LLM response testing. - Applying automation, test documentation, and risk-based testing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Quality Assurance Senior Associate

New York, NY

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt/LLM response testing. - Applying automation, test documentation, and risk-based testing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Junior/Entry Level Coder - Remote

$68K - $89K/yr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python ... AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal ...

Pipe17

Junior Tools Engineer

Seattle, WA · On-site

AI tooling and automation using ChatGPT, Claude, and other LLM-based systems. * Infrastructure ... Competitive entry-level salary and benefits. * Mentorship from senior engineers and architects.

Snap-on Inc

Support Engineer

Kenosha, WI

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

Glean

Machine Learning Engineer, Search Quality

Mountain View, CA · On-site

$140K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without ...

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Entry Level Llm Ai information

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How much do entry level llm ai jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level llm ai in the United States is $63,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $75,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Llm Ai vs Entry Level Data Scientist?

AspectEntry Level Llm AiEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; familiarity with machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related fields; knowledge of programming and analytics
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageDeveloping AI models, NLP applications, machine learning toolsData analysis, predictive modeling, data visualization
Common Search/ComparisonYesYes

Entry Level Llm Ai roles focus on developing and fine-tuning AI language models, requiring knowledge of NLP and machine learning. Entry Level Data Scientist positions involve analyzing data, building predictive models, and deriving insights. While both roles require programming skills and a background in data or AI, they serve different functions within the tech industry.

What does an entry level Llm AI professional do?

An Entry Level LLM AI professional typically works with large language models (LLMs) and artificial intelligence systems, assisting in tasks like data preparation, fine-tuning models, evaluating outputs, and supporting more senior AI engineers or data scientists. They may also help integrate AI solutions into applications, troubleshoot model issues, and contribute to research or development projects. This role is ideal for those who have foundational knowledge in machine learning, programming (often in Python), and an interest in natural language processing.

What types of projects can an entry level Llm AI professional expect to work on, and how are tasks typically assigned within a team?

As an Entry Level LLM AI professional, you can expect to contribute to projects such as fine-tuning language models, data preprocessing, evaluating model outputs, and developing simple applications using APIs. Tasks are often assigned based on your technical strengths and learning goals, under the guidance of senior engineers or research scientists. You'll likely collaborate closely with data scientists, software engineers, and product managers, participating in regular stand-ups and code reviews to ensure alignment and knowledge sharing. This collaborative environment supports skill development and provides exposure to various aspects of AI product development.

What are the key skills and qualifications needed to thrive as an entry level Llm AI professional, and why are they important?

To thrive as an Entry Level LLM AI professional, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, often supported by a relevant degree. Familiarity with AI frameworks such as TensorFlow or PyTorch, version control systems, and experience using large language models (LLMs) are typically required. Strong analytical thinking, collaboration, and problem-solving skills help you stand out in this fast-paced, innovative field. These skills are essential for developing, fine-tuning, and deploying AI models that drive impactful real-world applications.
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Entry Level Llm Ai jobs near you
Infographic showing various Entry Level Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $63,444 per year, or $30.5 per hour.

Data Analyst (27455)

Sunlight Financial LLC

Charlotte, NC

Full-time

Posted 7 days ago

Job description

Data Analyst

Location: Charlotte, NC (Hybrid)
Team: Credit & Pricing
Reports to: Senior Manager, Credit Risk
Level: Entry Level (1–3 Years Experience)

About Sunlight Financial
Sunlight Financial is a technology-enabled, point-of-sale financing platform that empowers residential home improvement contractors and their customers. Our platform streamlines consumer finance with fast, frictionless loan approvals and funding, backed by a broad network of capital providers. We’re committed to delivering smart, secure, and scalable financial solutions that drive growth and trust across the industry.
Learn more at www.sunlightfinancial.com.
 

About the Role

We’re looking for a curious, Python-fluent Data Analyst to join our team at Sunlight Financial. In this role, you’ll sit at the intersection of data engineering, business intelligence, and emerging AI, helping our company deliver smarter financing experiences to home improvement customers across the country.

You’ll work closely with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into reliable pipelines, actionable insights, and tools that drive real business decisions. This is a hands-on role for someone who loves to build, automate, and explore and who’s excited about integrating LLM and AI capabilities into everyday data workflows. 

Application Instructions
To be considered for this position, please include the exact job title, "Data Analyst" in red font at the very top of your resume. Applications that do not include this requirement may not be considered.

What You’ll Do

  • Build and maintain data pipelines — design, automate, and monitor workflows that move and transform data reliably across our systems.
  • Develop and maintain dashboards and reports — create clear, accurate reporting that stakeholders across the business can trust and act on.
  • Conduct ad hoc analysis — respond to business questions from Sales, Finance, Underwriting, and Product teams with timely, well-structured analysis.
  • Integrate AI and LLM capabilities — work with APIs such as OpenAI and Claude to explore and implement AI-assisted automation within our data workflows.
  • Support cross-functional data needs — partner with Product, Engineering, and customer-facing teams to understand data requirements and deliver solutions.
  • Contribute to data quality and documentation — help maintain standards, definitions, and documentation that keep our data trustworthy and scalable.
 

Required

  • 2–3 years of hands-on experience working with Python in professional or project-based settings; we want to see Python used in multiple contexts across your background (e.g., data wrangling, automation, analysis, API integrations).
  • Strong SQL skills with experience querying and transforming real-world datasets.
  • Experience building or contributing to data pipelines or automated workflows.
  • Familiarity with dashboard/reporting tools and a track record of delivering clear data visualizations.
  • Comfort working with APIs and integrating external data services.
  • Strong written and verbal communication — you can explain technical work to non-technical stakeholders.

Nice to Have

  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar).
  • Exposure to the financial services, fintech, or lending space.
  • Familiarity with data quality practices, testing, or documentation standards.
  • Experience in a startup or fast-moving team environment.
     

Why Join Us?

This is a high-impact role on Sunlight Financial’s Credit & Pricing team. You will work directly with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into pipelines, insights, and tools that drive real business decisions. Join a fast-evolving, data-driven team where your work makes a real difference.

For additional details surrounding Sunlight’s culture and benefits, please visit https://sunlightfinancial.com/careers/

An Equal Opportunity Employer

Sunlight provides equal employment opportunities (EEO) to all employees and applicants for employment regardless of race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sunlight complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Sunlight expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Sunlight’s employees to perform their job duties may result in discipline up to and including discharge.

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