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Entry Level Large Language Model Llm Jobs (NOW HIRING)

SageNet

AI Engineer

Tulsa, OK · On-site

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

SageNet LLC

AI Engineer

Tulsa, OK · On-site

Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions * Assist with building scalable AI workflows and ...

Crew Training International

AI Developer

Memphis, TN · On-site

This role ensures the delivery of production-grade Large Language Model (LLM) systems that meet real-world demands for performance, cost-efficiency, and governance. MINIMUM QUALIFICATIONS Education:

Crew Training International

Junior AI Developer

Memphis, TN · On-site

$59K - $77K/yr

This role ensures the delivery of production-grade Large Language Model (LLM) systems that meet real-world demands for performance, cost-efficiency, and governance. MINIMUM QUALIFICATIONS Education:

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Conduct research and implement AI agents using large language models (LLMs); * Deploy LLM agents to automate various business processes including document processing, information retrieval, fraud ...

CTI

Junior AI Developer

Memphis, TN · On-site +1

$60K - $78K/yr

This role ensures the delivery of production-grade Large Language Model (LLM) systems that meet real-world demands for performance, cost-efficiency, and governance. MINIMUM QUALIFICATIONS Education:

Apple

Gate-level IR/EM CAD/NLP Engineer

Austin, TX · On-site

You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM ...

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Entry Level Large Language Model Llm information

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

As of Jul 14, 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.

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 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 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.

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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 July 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $46,753 per year, or $22.5 per hour.
AI Engineer

AI Engineer

SageNet

Tulsa, OK • On-site

Full-time

Re-posted 16 days ago

Job description

WHO WE ARE
Empowering Connections, Inspiring Possibility
SageNet is a leading managed services provider specializing in connectivity, digital signage, and cybersecurity. Headquartered in Tulsa, OK, with regional offices across the U.S., SageNet connects, manages, and protects technologies and devices across widely distributed enterprises, serving customers in industries such as retail, finance, healthcare, utilities, and energy.
SageNet's nationwide infrastructure includes 24/7/365 U.S.-based Network and Security Operations Centers, geographically diverse teleports, multiple data centers, a national logistics center, and a nationwide field services organization. The company manages communications for more than 430,000 endpoints across the country.
What makes SageNet unique is its Why: a passion for Trusted Connections. This is a two-fold commitment. First, SageNet delivers secure, reliable, and innovative technological connections for its customers. Second, and just as importantly, the company works tirelessly to build trusted human connections with its customers, partners, and communities. By creating and nurturing these trusted connections, SageNet enhances the world that connects us all.
WHAT YOU'LL DO
In this role, you'll help shape the future of intelligent automation and enterprise technology by developing AI driven solutions that improve operational efficiency, enhance customer experiences, and support large scale managed services environments. You will work alongside our Automation Engineers to design, develop, and implement AI models and algorithms that enhance service offerings, improve automation capabilities, and support scalable enterprise solutions. You'll collaborate cross functionally with engineering, operations, and technology teams to identify opportunities for AI driven improvements and business innovation.
Major duties and responsibilities:
  • Develop and deploy AI models and algorithms to solve business problems
  • Collaborate with Automation Engineers to integrate AI solutions into existing systems
  • Analyze and preprocess data to ensure quality and relevance for AI applications
  • Research and evaluate emerging AI technologies, including generative AI and machine learning applications, to support business innovation
  • Contribute to the evaluation, testing, and adoption of emerging AI technologies, including generative AI and large language model (LLM) solutions
  • Assist with building scalable AI workflows and integrating AI capabilities into enterprise systems and operational processes
  • Ensure high levels of customer satisfaction by delivering reliable and effective AI solutions
  • Document AI processes and maintain comprehensive records of model development and deployment
  • Support AI solutions serving large scale enterprise environments across industries including retail, healthcare, finance, utilities, and energy

WHO YOU ARE
Key Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 1 to 3 years of experience in AI technology
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
  • Proficiency in programming languages such as Python, R, or Java
  • Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit learn
  • Knowledge of data preprocessing techniques and tools
  • Experience working with cloud platforms, APIs, automation tools, or enterprise data environments is a plus
  • Exposure to cloud-based AI tools, enterprise automation platforms, or large language model (LLM) technologies is a plus
  • You're naturally curious, excited by emerging technologies, and motivated to solve complex problems through innovation and collaboration

WHERE YOU'LL WORK
  • Collaborative and innovation driven culture focused on continuous learning and technology advancement
  • Ability to work in a fast-paced environment and manage multiple priorities
  • Ability to drive projects to completion on time
  • Strong collaborative mindset with the ability to work effectively across teams

WHY JOIN US
At SageNet, you'll join a collaborative technology organization focused on innovation, trusted connections, and continuous improvement. You'll have the opportunity to work on meaningful AI initiatives that support enterprise customers nationwide while expanding your expertise in AI, automation, and enterprise technologies alongside experienced engineering professionals.
PHYSICAL REQUIREMENTS
  • Be able to sit for long periods of time without a problem
  • Extensive use of fingers and hands for typing
  • Extensive use of eyes to be able to analyze documents electronically and physically for long periods of time

CLASSIFICATION*: Exempt
POSITION TYPE: Full-time
LOCATION: Hybrid role based in Tulsa, Oklahoma
TRAVEL REQUIREMENTS: Minimal travel (up to 5%)
DIRECT REPORTS: No Direct Reports
SAFETY SENSITIVE: No
Ready to join a team that values trusted connections? Apply now!
Equal Opportunity EmployerSageNet is committed to a skills-first approach when it comes to hiring. As such, we value merit, qualifications, and business needs when making employment decisions. It is the policy of SageNet to provide equal employment opportunity to all employees and applicants without regard to race, color, sex (including pregnancy, sexual orientation, and gender identity), age, religion, national origin, disability, genetic information, veteran or military status, marital status, or any other legally protected status. SageNet strictly prohibits and does not tolerate discrimination, harassment, or retaliation on the basis of any legally protected status.
SageNet will not discriminate against any employee or applicant because they are a disabled veteran, recently separated veteran, active-duty wartime or campaign badge veteran, or Armed Forces services medal veteran in regard to any position for which the employee or applicant is qualified. As a federal contractor, SageNet is committed to taking affirmative action to employ and advance in employment protected veterans, and to treat qualified individuals without discrimination based on their status as protected veterans in all employment practices.
SageNet will not discriminate against any employee or applicant because of physical or mental disability in regard to any position for which the employee or applicant is qualified. As a federal contractor, SageNet is committed to taking affirmative action to employ and advance individuals with disabilities, and to treat qualified individuals without discrimination on the basis of their physical or mental disability in all employment practices. If you have a disability or special need that requires accommodation, please let us know by contacting your HR representative or any member of management.Legal DisclaimerThis job description is intended to provide a general overview of the position. It is not an exhaustive list of all responsibilities, duties, and skills required. SageNet reserves the right to modify this job description at any time, with or without notice. Employment with SageNet is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. SageNet will provide reasonable accommodations for qualified individuals with disabilities.
As a managed services provider, SageNet maintains a high level of information Security. SageNet has a published Information Security Policy and provides mandatory Security Awareness Training for all employees. SageNet requires that all employees adhere to published SageNet security policy, failure to do so may result in termination of employment. The SageNet security program is only as strong as our people and as such it is the responsibility of all employees to protect corporate and customer data following best practices and policies
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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