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Entry Level Llm Researcher Jobs (NOW HIRING)

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

Research and apply new AI tools, libraries, and agent frameworks as they emerge * Collaborate with ... Familiarity with LLM APIs, prompt engineering, or agent frameworks * Exposure to cloud platforms or ...

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Entry Level Llm Researcher information

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$30K

$113.1K

$164.5K

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

As of Jul 5, 2026, the average yearly pay for entry level llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Llm Researcher vs Legal Research Assistant?

AspectEntry Level Llm ResearcherLegal Research Assistant
Required CredentialsLLM degree or in progressTypically a bachelor's degree, some may have paralegal certification
Work EnvironmentAcademic, law firms, research institutionsLaw firms, corporate legal departments, government agencies
Employer & Industry UsageLegal research, policy analysis, academic projectsLegal support, case preparation, legal documentation

While both roles involve legal research, an Entry Level Llm Researcher usually holds an advanced law degree and focuses on in-depth legal analysis or academic projects. A Legal Research Assistant typically has a bachelor's degree and supports attorneys with case-related research and administrative tasks. The roles differ mainly in educational requirements and scope of responsibilities, but both are essential in legal and academic settings.

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

To thrive as an Entry Level LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree. Familiarity with programming languages (such as Python), deep learning frameworks (like PyTorch or TensorFlow), and version control systems is typically required. Critical thinking, curiosity, and the ability to collaborate effectively are important soft skills in this position. These skills and qualities are essential to contribute to cutting-edge research, solve complex problems, and work efficiently within research teams.

What are some common challenges faced by entry-level LLM researchers when working on large language model projects?

Entry-level LLM researchers often encounter challenges such as understanding complex machine learning concepts, keeping pace with rapidly evolving research, and managing large datasets. They may also need to learn new frameworks and tools for model training and evaluation, as well as collaborate with more experienced researchers and engineers. Additionally, balancing independent research with team-driven goals and deadlines can require strong organizational and communication skills.

What is an Entry Level LLM Researcher?

An Entry Level LLM Researcher is someone who assists in the development and analysis of large language models (LLMs) such as GPT, BERT, or similar AI systems. These researchers typically work under the guidance of more experienced scientists to gather data, run experiments, and evaluate model performance. They may also contribute to literature reviews, help with dataset curation, and support the implementation of research prototypes. This role is ideal for individuals with a background in computer science, machine learning, or related fields who are looking to gain hands-on experience in state-of-the-art AI research.
More about Entry Level Llm Researcher jobs
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
What job categories do people searching Entry Level Llm Researcher jobs look for? The top searched job categories for Entry Level Llm Researcher jobs are:
Entry Level Llm Researcher jobs near you
Infographic showing various Entry Level Llm Researcher job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 35% As Needed, 45% Full Time, 1% Part Time, 15% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

LLM Distributed Training Engineer (Menlo Park)

Periodic Labs

Menlo Park, CA • On-site

Full-time

Posted 4 days ago

Job description

An innovative AI and physical sciences lab is seeking a Distributed Training Engineer to optimize and develop large-scale LLM training systems. The role involves collaborating with researchers and maintaining reinforcement learning workflows. Ideal candidates will have experience with distributed training frameworks and optimizing model training. This position is full-time and offers an entry-level opportunity in a cutting-edge technology environment.
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