1

Hourly Large Language Model Llm Jobs (NOW HIRING)

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...

New

Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...

New

next page

Showing results 1-20

Hourly Large Language Model Llm information

See salary details

$14

$24

$38

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

As of Jul 14, 2026, the average hourly pay for hourly large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is the difference between Hourly Large Language Model Llm vs Data Scientist?

AspectHourly Large Language Model LlmData Scientist
Required CredentialsKnowledge of AI, NLP, programming skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI research labs, freelance projectsCorporate, consulting firms, research institutions
Industry UsageDeveloping and fine-tuning language models, AI applicationsData analysis, predictive modeling, data visualization

While both roles involve working with data and advanced technology, Hourly Large Language Model Llm focuses on developing and deploying AI language models, whereas Data Scientists analyze data to inform business decisions. The roles share skills in programming and data handling but differ in their primary objectives and work environments.

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

To thrive as a Large Language Model (LLM) Engineer, you need a solid background in machine learning, natural language processing, and programming—typically with a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with cloud platforms, and knowledge of model deployment tools are highly valued, along with certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication help you collaborate with cross-functional teams and innovate solutions. These competencies are crucial for developing, optimizing, and scaling LLMs to meet evolving business and research needs.

What are some common challenges faced by Hourly Large Language Model (LLM) annotators and how can they be addressed?

Hourly LLM annotators often face challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and managing the repetitive nature of annotation tasks. To address these challenges, it's helpful to regularly review annotation guidelines, participate in team discussions to clarify uncertainties, and leverage available feedback from quality assurance checks. Collaborating with teammates and project managers can also provide support and ensure alignment on task expectations, making the work environment more collaborative and improving overall accuracy.

What are Hourly Large Language Model (LLM) jobs?

Hourly Large Language Model (LLM) jobs are roles where individuals work with LLMs, such as ChatGPT or similar AI systems, on an hourly basis. These positions often involve tasks like data annotation, prompt engineering, AI model evaluation, or content generation. Workers may be responsible for improving AI responses, testing models, or creating training data. The 'hourly' aspect means they are paid based on the number of hours worked, rather than a fixed salary or per-project rate. Such jobs are common in tech companies, research organizations, or freelance platforms.
More about Hourly Large Language Model Llm jobs
What cities are hiring for Hourly Large Language Model Llm jobs? Cities with the most Hourly 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 Hourly Large Language Model Llm jobs? States with the most job openings for Hourly Large Language Model Llm jobs include:
What job categories do people searching Hourly Large Language Model Llm jobs look for? The top searched job categories for Hourly Large Language Model Llm jobs are:
Infographic showing various Hourly Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 49% Full Time, 45% Part Time, 2% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
Principal AI Software Engineer (TS/SCI + Poly)

Principal AI Software Engineer (TS/SCI + Poly)

Aperio Global

Fort George G Meade, MD • On-site

$149K - $200K/yr

Other

Posted 18 days ago


Job description

We are seeking a Principal AI Software Engineer to support the exciting Corporate Directory Services mission. You will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes. You will also  work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Mission Focus:

Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows. Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains. Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems

Technical Proficiency:

Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques such as but not limited to  deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc. Experience in current large language models (LLM) for representative and generative tasks.

Qualifications:

Bachelor's degree plus 11-years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA, Python) and experience with Jupyter Notebooks

Security Clearance: Active TS/SCI with Polygraph required (CCA) 


Nice To Have:

Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics related to parametric probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.

Salary Range: 207,000-227,000