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Llm Training Jobs in Spring, TX (NOW HIRING)

Worley

Lead Counsel, Major Project

Houston, TX · On-site

Education - Qualifications, Accreditation, Training: Required: * Requires a JD or Master of Laws (LLM) in at least one jurisdiction. Preferred: * JD or LLM degree. 8+ years relevant industry ...

Viridien

Head of Applied AI Products

Houston, TX

Establish best practices for building reliable, observable, and debuggable LLM-powered systems. AI ... provide tailored training programs through our Learning Hub, designed to enhance technical ...

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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 3, 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.

Technical Lead

iLink Digital

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description


AboutTheCompany:
iLink is a GlobalSoftware Solution Provider and Systems Integrator, deliversnext-generation technology solutions to help clients solvecomplex business challenges, improve organizationaleffectiveness, increase business productivity, realizesustainable enterprise value and transform your businessinside-out. iLink integrates software systems and developscustom applications, components, and frameworks on the latestplatforms for IT departments, commercial accounts, applicationservices providers (ASP) and independent software vendors(ISV). iLink solutions are used in a broad range of industriesand functions, including healthcare, telecom, government, oiland gas, education, and life sciences. iLink's expertiseincludes Cloud Computing & Application Modernization, DataManagement & Analytics, Enterprise Mobility, Portal,collaboration & Social Employee Engagement, EmbeddedSystems and User Experience designetc.
What makes iLinkSystems' offerings unique is the fact that we usepre-created frameworks, designed to accelerate softwaredevelopment and implementation of business processes for ourclients. iLink has over 60 frameworks (solution accelerators),both industry-specific and horizontal, that can be easilycustomized and enhanced to meet your current businesschallenges.
Requirements
Position Overview
We are looking for an experienced Technical Lead - Cloud & AI Solutions to design and deliver enterprise-grade technology solutions powered by modern cloud platforms and artificial intelligence.
This role requires a hands-on technical leader who can work directly with customers, business stakeholders, and development teams to translate business needs into scalable, production-ready solutions.
The ideal candidate should have strong experience in enterprise application development, cloud architecture, and AI/LLM integration, with a focus on delivery ownership and solution implementation.
Key Responsibilities
  • Lead end-to-endtechnical delivery of cloud and AI-enabled enterprise solutions.
  • Work closely with customersand stakeholders to understand requirements and design practicaltechnical solutions.
  • Architect and guidedevelopment teams in building scalable microservices-based applications.
  • Design and implement AI-drivenautomation, agentic workflows, and LLM-based solutions.
  • Develop backend servicesusing C# / .NET Core and Python.
  • Build and integrate RESTAPIs, cloud services, and enterprise systems.
  • Drive DevOpspractices, CI/CD pipelines, and containerized deployments.
  • Participate in architecturediscussions, technical reviews, and solution workshops.

Required Experience & Skills
Technical Experience
  • 12+ years of software developmentand architecture experience.
  • Strong expertise in C#/ .NET Core and backend system development.
  • Proficiency in Python for automation and AI integration.
  • Experience designing microservicesand distributed systems.

Cloud & Platform Engineering
  • Hands-on experience with Microsoft Azure cloud services, including:
    • Application hosting andcontainer platforms
    • Kubernetes-baseddeployments
    • Storage and messagingservices
    • CI/CD pipelineautomation

AI & Intelligent Automation
  • Experience integrating LargeLanguage Models (LLMs) into applications.
  • Knowledge of AIworkflows, prompt engineering, and intelligent automation.
  • Exposure to agent-basedAI systems or AI orchestration is highly desirable.

Frontend & Integration
  • Experience with Angularor React.
  • Understanding of modernSPA application architecture.

Soft Skills
  • Strong customer-facingcommunication and consulting skills.
  • Ability to lead technicaldiscussions with senior stakeholders.
  • Solution-oriented andstrategic thinking mindset.
  • Ability to work in fast-paceddelivery environments.
  • Leadership ability tomentor and guide engineering teams.

Benefits
  • Competitivesalaries
  • Medical,Dental, Vision Insurance
  • Disability,Life & AD&D Insurance
  • 401KWith Generous Company Match
  • PaidVacation and Personal Leave
  • Pre-PaidCommute Options
  • EmployeeReferral Bonuses
  • PerformanceBased Bonuses
  • FlexibleWork Options & Fun Culture
  • ContinuingEducation Reimbursements
  • In-HouseTechnology Training

Apply