ZipRecruiter

Log In

1

Llm Trainer Jobs in Spring, TX (NOW HIRING)

Viridien

Head of Applied AI Products

Houston, TX · On-site

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 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Houston, TX

$97K - $128K/yr

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Senior Forward Deployed Engineer- AWS

Houston, TX · On-site

$99K - $137K/yr

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... and training; licensure and certifications; and other business and organizational needs. The ...

previous page

Showing results 41-60

All JobsLlm Trainer JobsLlm Trainer Jobs in Spring, TX

Llm Trainer information

See Spring, TX salary details

$13

$32

$82

How much do llm trainer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm trainer in Spring, TX is $32.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $47.07 per hour, depending on experience, location, and employer.

What does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

What are popular job titles related to Llm Trainer jobs in Spring, TX? For Llm Trainer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Llm Trainer jobs in Spring, TX look for? The top searched job categories for Llm Trainer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Llm Trainer jobs? Cities near Spring, TX with the most Llm Trainer job openings:
Llm Trainer jobs near you
Infographic showing various Llm Trainer job openings in Spring, TX as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $68,318 per year, or $32.8 per hour.

Head of Applied AI Products

Viridien

Houston, TX • On-site

Full-time

Re-posted 13 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

Viridien is seeking a Head of Applied AI Products to lead the design and realization of our AI-native product ecosystem. This role sits at the intersection of engineering, research, and product architecture, defining the technical direction for AI-powered solutions and translating emerging AI capabilities into scalable, production-grade products.

The role focuses on transforming unstructured geoscience domain data into structured knowledge systems and building AI-native tools that enable advanced data analysis and customizable workflows. The Head of Applied AI Products will shape the AI roadmap, define system architectures, and ensure the successful delivery of innovative AI-driven capabilities aligned with Viridien's strategic goals.

Key Responsibilities

AI Product Architecture & Strategy

  • Define and own the AI product architecture and technical product roadmap.

  • Translate emerging AI capabilities into scalable product architectures and user experiences.

  • Establish best practices for building reliable, observable, and debuggable LLM-powered systems.

AI Data Pipelines & Systems

  • Design and improve end-to-end AI pipelines.

  • Develop document ingestion, layout analysis, and information extraction capabilities.

  • Build entity resolution processes aligned with standardized domain databases.

  • Implement table understanding and schema normalization into predefined data schemas.

Advanced AI & Analytics

  • Design and implement advanced analytics capabilities.

  • Develop domain-specific machine learning models in collaboration with subject matter experts.

  • Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.

AI Applications & Platforms

  • Lead the development of AI-native applications and tools.

  • Implement tool-calling and orchestration frameworks for domain-specific software.

  • Develop data analysis and integration systems.

  • Implement human-in-the-loop validation and feedback mechanisms.

Technical Leadership & Prototyping

  • Prototype core systems to validate feasibility and guide implementation.

  • Partner with engineering teams to review designs and ensure strong technical architecture.

  • Drive the transition from experimental AI capabilities to scalable production systems.

What We Are Looking For

  • Strong engineering background (ML engineering, MLOps engineer, or equivalent).

  • Proven experience building complex systems from 01.

  • Ability to independently write production-quality code and build functional prototypes.

  • Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).

  • Solid understanding of data pipelines, system design, and service-oriented architectures.

  • Product-minded: able to reason about user value, tradeoffs, and adoption-not only implementation.

  • Comfortable operating in high-ambiguity, fast-evolving technical environments.

Learning and Development
At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.
We Care About The Environment
We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Apply