ZipRecruiter

Log In

2

Part Time Large Language Model Llm Jobs in Houston, TX

Varsity Tutors

ChatGPT Tutor

Missouri City, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Pearland, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Sugar Land, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Houston, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

next page

Showing results 1-20

All JobsLarge Language Model Llm JobsPart Time Large Language Model Llm JobsPart Time Large Language Model Llm Jobs in Houston, TX

Part Time Large Language Model Llm information

See Houston, TX salary details

$14

$23

$36

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

As of Aug 24, 2026, the average hourly pay for part time large language model llm in Houston, TX is $23.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $27.79 per hour, depending on experience, location, and employer.

What is a part time large language model LLM?

A Part Time Large Language Model (LLM) role typically involves working with large language models, such as GPT or similar AI systems, on a part-time basis. Responsibilities may include training, fine-tuning, evaluating, or deploying LLMs to solve specific problems or improve existing language technologies. These roles often require knowledge of natural language processing, machine learning, and programming. Part-time positions allow for flexible working hours and may be suitable for students, researchers, or professionals looking to contribute to AI projects without a full-time commitment.

What skills and qualifications are needed to thrive as a part time large language model LLM?

To thrive as a Part-Time Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Proficiency with tools and frameworks like Python, TensorFlow, PyTorch, and experience working with LLM architectures such as GPT or BERT is typically required. Strong analytical thinking, communication skills, and the ability to collaborate effectively in a remote or distributed environment are valuable soft skills. These competencies are crucial for successfully developing, fine-tuning, and deploying advanced language models that meet organizational goals.

What are common challenges faced when working part time with large language models LLMs?

Part-time professionals working with Large Language Models often face challenges in keeping up with rapid advancements in AI technologies and adapting to evolving best practices. Balancing limited work hours with the need to stay updated on new research, tools, and model updates can be demanding. Additionally, coordinating with full-time team members and integrating contributions within tight timelines requires effective communication and collaboration skills. However, the flexible schedule can also provide opportunities for continuous learning and professional growth.

What is the difference between Part Time Large Language Model Llm vs Part Time Data Annotator?

AspectPart Time Large Language Model LlmPart Time Data Annotator
Required CredentialsKnowledge of NLP, AI, and machine learning conceptsAttention to detail, basic understanding of data labeling
Work EnvironmentRemote or office-based, involving AI development teamsRemote or on-site, working with datasets and labeling tools
Employer & Industry UsageTech companies, AI research labs, startupsData companies, AI firms, machine learning projects

While both roles support AI development, a Part Time Large Language Model Llm focuses on understanding and improving language models, requiring technical knowledge. A Part Time Data Annotator primarily labels data to train models, emphasizing accuracy and attention to detail. The roles differ in technical complexity but are both essential in AI workflows.

What are the most commonly searched types of Large Language Model Llm jobs in Houston, TX?

The most popular types of Large Language Model Llm jobs in Houston, TX are:

What are popular job titles related to Part Time Large Language Model Llm jobs in Houston, TX?

For Part Time Large Language Model Llm jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Large Language Model Llm jobs in Houston, TX look for?

The top searched job categories for Part Time Large Language Model Llm jobs in Houston, TX are:

Part Time Large Language Model Llm jobs near you
Infographic showing various Part Time Large Language Model Llm job openings in Houston, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $48,345 per year, or $23.2 per hour.

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX • On-site

$14.25 - $19/hr

Part-time, Internship

Re-posted 13 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 622 rated colleges and universities

Job description

Summary

The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. 

Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution. 
Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences. 
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply