ZipRecruiter

Log In

2

Entry Level Large Language Model Llm Jobs (NOW HIRING)

Maxima

Software Engineer - Intern

San Mateo, CA

This is a hands-on role where you'll write production-quality code, participate in architectural discussions, and gain exposure to large language model (LLM) integrations, workflow orchestration, and ...

Merican

AI / Machine Learning Engineer

PA · On-site

... Large Language Model (LLM) solutions within enterprise AWS environments. The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and ...

New

next page

Showing results 1-20

All JobsEntry Level Large Language Model Llm Jobs

Entry Level Large Language Model Llm information

See salary details

$15

$22

$29

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

As of Jun 21, 2026, the average hourly pay for entry level large language model llm in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Entry Level Large Language Model roles are likely to persist in fields requiring human oversight, creativity, and complex problem-solving, such as AI ethics specialists, data annotation professionals, and AI trainers. These jobs involve tasks that complement AI systems and require critical thinking, domain expertise, and interpersonal skills that AI cannot fully replicate. Continuous learning and technical understanding will enhance job security in these areas.

What is an Entry Level Large Language Model (LLM) role?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What job makes $10,000 a month without a degree?

Entry-level roles in large language model development or AI-related fields can potentially pay $10,000 or more per month, especially for those with strong technical skills in machine learning, programming, and data analysis. High-paying positions often require expertise in AI tools, coding languages like Python, and experience with cloud computing platforms, even if a formal degree is not mandatory.

What are the key skills and qualifications needed to thrive as an Entry Level Large Language Model (LLM) Engineer, and why are they important?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in large language models, data science, and deep learning. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity components in tech companies.

What types of projects do entry-level professionals working with Large Language Models (LLMs) typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What profession makes $400,000 a year?

In the field of artificial intelligence, senior roles such as Machine Learning Engineers or AI Research Directors working on large language models can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, specialized knowledge of deep learning frameworks, and a strong track record of project success.
More about Entry Level Large Language Model Llm jobs
What cities are hiring for Entry Level Large Language Model Llm jobs? Cities with the most Entry Level Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Entry Level Large Language Model Llm jobs? States with the most job openings for Entry Level Large Language Model Llm jobs include:
What job categories do people searching Entry Level Large Language Model Llm jobs look for? The top searched job categories for Entry Level Large Language Model Llm jobs are:
Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 73% Full Time, 19% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $46,753 per year, or $22.5 per hour.

Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Developmen...

ByteDance

San Jose, CA • On-site

Full-time

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

Job description

Job Summary:
ByteDance is a leading tech company known for its innovative products like TikTok and CapCut. They are seeking a Research Scientist to develop and operate Large Language Model (LLM) service platforms, focusing on building a next-generation big model as a service platform and managing GPU resources efficiently.
Responsibilities:
• Building a next-generation big model as a service platform to serve hundreds of LLMs based applications;
• To develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.;
• To manage a huge number of GPU resources and provide computing power efficiently.
Qualifications:
Required:
• Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• Research experience in one or more of the following areas: LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
• Demonstrated research ability through publications, substantial research projects, or internships.
• Ability to work independently on open-ended research problems, from problem formulation to experimental execution.
Preferred:
• Strong interest in foundation models and data-centric AI, particularly in how large models can improve over time through better data, feedback, and system design. Relevant directions include data flywheels, continual learning, data curation and valuation, and the co-design of algorithms and infrastructure.
• A strong publication record with multiple first-author papers, in areas of machine learning, NLP, data mining, or related fields.
• Internship or research experience in similar fields, ideally with experience with scalable ML systems, especially those involving real-world deployment, feedback loops, or human-in-the-loop pipelines.
• Strong motivation to connect research with practice, and to build end-to-end AI systems spanning modeling, data, evaluation, and infrastructure.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.

Apply