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Llm Training Jobs in Spring, TX (NOW HIRING)

Scan Ninja Inc.

AI/ML Engineer - Cybersecurity

Houston, TX · On-site

$100 - $130/hr

Fine-tune, evaluate, and improve LLM workflows for vulnerability triage * Build data pipelines for training, evaluation, and feedback collection * Work closely with security engineers to validate ...

Deloitte

AI Engineer Consultant

Houston, TX · Hybrid

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and ...

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

... LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training • Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR ...

J.P. Morgan

Principal Software Engineer

Houston, TX

$128K - $172K/yr

Establishes engineering standards for LLM-based applications - RAG pipelines, embedding workflows ... Formal training or certification on software engineering concepts and 7+ years applied experience

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Experience with LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training * Understanding of ML governance, bias detection, model risk management, and data privacy ...

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Llm Training information

See Spring, TX salary details

$28.5K

$61.1K

$99.7K

How much do llm training jobs pay per year?

As of Sep 2, 2026, the average yearly pay for llm training in Spring, TX is $61,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $75,200.00 per year, depending on experience, location, and employer.

What is an LLM Training?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

What are the key skills and qualifications needed to thrive in the LLM Training position?

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

Is it possible to train Llm Training?

Training large language models (LLMs) is possible but requires significant computational resources, expertise in machine learning, and access to large datasets. It typically involves using specialized hardware like GPUs or TPUs and knowledge of frameworks such as TensorFlow or PyTorch. Many organizations opt to fine-tune pre-trained models rather than train from scratch due to the high costs and complexity involved.

What job categories do people searching Llm Training jobs in Spring, TX look for?

The top searched job categories for Llm Training jobs in Spring, TX are:

What cities near Spring, TX are hiring for Llm Training jobs?

Cities near Spring, TX with the most Llm Training job openings:

Llm Training jobs near you
Infographic showing various Llm Training job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $61,119 per year, or $29.4 per hour.

LLM Training & Model Development Engineer

Bay Area TeK Solutions LLC

Houston, TX • Remote

Full-time

Re-posted 12 hours ago

Job description

Strong Data Engineer with Agentic AI experience, capable of Data Extract, Transformation, Feature Engineering, Analytics to build AI/ML models

• Curate and preprocess training corpora for domain-specific instruction tuning.

• Fine-tune open-source LLMs using LoRA, RLHF, DPO, and model distillation techniques.

• Implement model evaluation pipelines and benchmark reporting.

• Collaborate with Prompt & Data teams to create repeatable model tuning workflows.

Preferred Qualifications

• Prior experience contributing to open-source LLM projects. • Background in NLP research or applied ML.

• Knowledge of data privacy, ethical AI, and prompt alignment techniques. • Master’s or Ph.D. in Computer Science, AI, or related field preferred.