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Remote Llm Engineer Intern Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... LLM optimization & improved response handling. Responsibilities: * Design, develop, and deploy ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure ...

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Strong experience in enterprise solution architecture, backend engineering, and distributed systems ...

Dozee

Clinical Research - Intern

Houston, TX · Remote

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive ... Troubleshoot product issues in the field and coordinate resolutions with the engineering and ...

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Remote Llm Engineer Intern information

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How much do remote llm engineer intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote llm engineer intern in Spring, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $25.67 per hour, depending on experience, location, and employer.

What is a Remote LLM Engineer Intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote LLM Engineer Intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What are the typical projects and responsibilities for a Remote LLM Engineer Intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

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Remote Llm Engineer Intern jobs near you

Software Engineering Internship

FDR Financial Group

Houston, TX • Remote

Full-time

Re-posted 28 days ago

Job description

Description

FDR Financial Group is offering a full-time remote Software Engineering Internship opportunity in the Financial Services industry. As an Entry-Level intern, you will have the chance to gain hands-on experience and contribute to innovative projects while working from the comfort of your own location. This internship provides a valuable learning experience and exposure to real-world software development in the financial sector.

Responsibilities:
  • Collaborate with the development team to design, develop, and test software solutions
  • Assist in troubleshooting and debugging software issues
  • Participate in code reviews and provide constructive feedback
  • Contribute to the improvement of existing software applications
  • Research and implement new technologies to enhance software capabilities
Requirements:
  • Pursuing a degree in Computer Science, Software Engineering, or related field
  • Basic understanding of programming languages such as Java, Python, or C++
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and in a team environment
  • Excellent communication and interpersonal skills