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Llm Trainer Jobs in Spring, TX (NOW HIRING)

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 ...

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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How much do llm trainer jobs pay per hour?

As of Sep 2, 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 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 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 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:

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 40% In-person, and 60% Remote job distribution, with an average salary of $68,318 per year, or $32.8 per hour.

Director, AI Strategy & Enablement

Ezee Fiber

Houston, TX • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Ezee Fiber rating

7.8

Company rating: 7.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

36th of 101 rated telecommunications companies


Job description

JOB SUMMARY

As Director of AI Enablement & Strategy, you will own Ezee Fiber's enterprise AI program end-to-end. This is a high-visibility, high-impact role that touches every functional group in the company. You will design the systems, run the training, deploy the workflows, and prove the value. The person who does this job well will define how AI is used at Ezee Fiber for years to come.

ESSENTIAL FUNCTIONS
  • Own and administer Ezee Fiber's Claude Enterprise environment — seat management, usage monitoring, vendor relationship with Anthropic.
  • Build and maintain a company-wide prompt library and reusable workflow templates for each department.
  • Partner with department heads to identify, prioritize, and deploy AI use cases across all 16 functional groups.
  • Design and deliver AI training programs for team leads, managers, and department heads.
  • Recruit, develop, and support an AI Champions network that drives grassroots adoption.
  • Maintain AI usage policies in partnership with IT and Legal; ensure CPNI, PII, and data security compliance.
  • Define KPIs for every AI initiative and report quarterly to senior leadership on business impact.
  • Monitor the LLM market and recommend new capabilities before competitors adopt them.
  • Build scheduled AI automations and agent-based tasks that reduce manual overhead across operations and finance.
  • Serve as the internal AI expert resource for the C-suite.
  • Track and report key milestones, project risks, operational performance, and KPIs to senior leadership.
  • Conduct data analysis and operational reviews to improve forecasting and delivery predictability.
QUALIFICATIONS

Education and Experience Requirements: A Bachelor's degree in Business, Information Systems, Technology Management, Marketing, communications, or a related field is preferred. 6–10 years of experience in enterprise operations, digital transformation, or technology strategy.

  • Demonstrated hands‑on proficiency with Claude Enterprise, ChatGPT Enterprise, Microsoft Copilot, or an equivalent enterprise LLM platform—not theoretical familiarity. You use these tools daily.
  • Proven track record of deploying technology or process change across multiple functional teams with measurable results.
  • Strong facilitation and training skills—equally effective with a Contact Center team and the CFO's office.
  • Experience designing prompt systems, workflow templates, SOPs, or knowledge management structures that others actually use.
  • Familiarity with data governance, security policy, and compliance frameworks relevant to telecommunications (CPNI, PII a meaningful plus).
  • High comfort with ambiguity — this program is being built, not inherited.

Preferred Qualification

  • Prior experience in a transformation or AI program ownership role at a company of 300–2,000 employees — not just as a participant or advisor.
  • Hands‑on experience building custom Claude Projects, GPT configurations, API‑adjacent automations, or structured prompt libraries deployed in a business context.
  • Background in telecommunications, ISP, utilities, or a field‑service‑intensive business.
  • Change management experience or certification (Prosci, CCMP, or equivalent).
  • Experience with Salesforce, HubSpot, Genesys, or SolarWinds.
CERTIFICATES, LICENSES, REGISTRATIONS

Valid Driver's License

PHYSICAL, FIELD, OR ENVIRONMENTAL REQUIREMENTS

The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the workday and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

TRAVEL REQUIREMENTS

Ability to travel up to 35% of the time to support AI strategy execution, stakeholder engagement, change management initiatives, and enterprise‑wide adoption efforts across multiple markets.

TOTAL REWARDS
  • Competitive compensation package
  • Health, Dental and Vision insurance
  • 401k match
  • Paid time off and other generous benefit programs
  • Tuition reimbursement

*We are seeking candidates that are legally authorized to work in the United States, without Sponsorship.

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