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Remote Llm Trainer Jobs in Texas (NOW HIRING)

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

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Remote Llm Trainer information

What is a remote LLM trainer?

Remote LLM Trainers are professionals who work from any location to help train large language models (LLMs) by providing high-quality data, evaluating model outputs, and refining model behavior. They may annotate data, review AI-generated content, or design prompts and tasks to improve the model's performance. These roles are crucial in ensuring that LLMs become more accurate, safe, and useful across various applications. Remote LLM Trainers often have backgrounds in language, linguistics, data science, or related fields and rely on digital tools to collaborate with AI development teams.

What does a remote LLM trainer do?

As a Remote LLM Trainer, your workday often involves creating, curating, and reviewing datasets, developing prompts, and evaluating large language model outputs for quality and safety. Much of your collaboration happens asynchronously through digital channels—such as project management tools, messaging platforms, and regular video meetings—with researchers, data scientists, and fellow trainers. You may also participate in feedback sessions to discuss model behavior and share insights on improving training methodologies. Adapting to rapidly evolving project requirements and maintaining clear communication are key to success in this distributed, fast-paced environment.

What are the key skills and qualifications needed to thrive as a remote LLM trainer?

To thrive as a Remote LLM Trainer, you need a deep understanding of machine learning, natural language processing, and large language models, typically supported by a degree in computer science or related fields. Experience with Python, deep learning frameworks like TensorFlow or PyTorch, and familiarity with annotation tools or data labeling platforms is essential. Strong communication, attention to detail, and the ability to work independently are standout soft skills in this role. These skills and qualities ensure accurate model training, effective collaboration with distributed teams, and the delivery of high-quality AI solutions.

What is the difference between Remote Llm Trainer vs Data Scientist?

AspectRemote Llm TrainerData Scientist
Required CredentialsBackground in AI, NLP, or machine learning; often a degree in computer science or related fieldDegree in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentRemote, collaborative teams developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and deriving insights
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting, and research organizations

While both roles involve working with data and machine learning, a Remote Llm Trainer specializes in training and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various industries.

What are the most commonly searched types of Llm Trainer jobs in Texas?

The most popular types of Llm Trainer jobs in Texas are:

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For Remote Llm Trainer jobs in Texas, the most frequently searched job titles are:

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Remote Llm Trainer jobs near you
Infographic showing various Remote Llm Trainer job openings in Texas as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution.

Forward Deployed Engineer

4MindsAI Inc.

Dallas, TX • On-site, Remote

$190K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Mission 

4MINDS is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4MINDS' AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider. 

Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4MINDS' automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems. 

Role Overview 

As a Forward Deployed Engineer (FDE), you'll operate at the intersection of engineering, AI, and live customer systems. You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training platform. 

This is a hands-on, field-facing engineering role. You'll move between writing code, diagnosing live issues, building integrations, tuning models, and translating operational insights into core product improvements. 

Reporting to the VP of Solutions Engineering, you'll make an impact for us and our customers by solving hard, messy, high-stakes problems where AI meets real operations.

Key Responsibilities 

  • Partner directly with customers, from presales through onboarding and production, to ensure the 4Minds platform delivers new models for our clients. 
  • Debug, tune, and optimize real-time LLM development pipelines for clients.  
  • Build and maintain lightweight integrations, automations, and scripts connecting customer systems (TMS, CRMs, APIs) to our AI stack. 
  • Work closely with core engineering and product teams to reproduce, isolate, and resolve field issues rapidly. 
  • Develop deployment playbooks and reusable frameworks that make future rollouts faster and more reliable. 
  • Surface insights and edge cases from customer operations to inform model tuning, UX design, and roadmap priorities. 
  • Represent engineering in the field and communicate clearly with both technical and non-technical stakeholders. 
  • Ship quickly, iterate aggressively, and own every deployment like it's your own product. 

Required Qualifications 

  • BS in Computer Science, Engineer, or related technical field 
  • 3+ years in technical customer interfacing implementation role 
  • 5+ years in software engineering 
  • Strong experience with AI/LLM pipelines and open-source models including prompting, orchestration, or model tuning.
  • Strong proficiency in Python, Node.js, or TypeScript  
  • Able to build integrations and debug live systems. 
  • Experience with real-time APIs, WebRTC, or streaming systems. 
  • Clear technical communication and ability to work directly with customer teams under time pressure. 
  • Comfort working in high-stakes, production environments where reliability and speed matter. 
  • Deep ownership mindset: you care about outcomes, not job titles. 

Preferred Qualifications 

  • MS in Computer Science, Engineer, or related technical field 
  • Expertise in working with AI/LLM pipelines including prompting, orchestration, or model tuning. 
  • 5+ years in enterprise technical implementation roles 
  • 8+ years in software engineering 
  • Expert proficiency in Python, Node.js, or TypeScript  
  • Able to build integrations and debug live systems. 
  • Previous Enterprise experience implementing new technologies 
  • Passion and Desire to work with clients to deliver impact on their businesses 

Compensation 

  • Base salary range: $190,000 - $225,000 annually 
  • Competitive equity package in venture-backed startup 
  • Performance-based bonus structure 
  • Annual merit-based salary reviews 
  • Stock 

Benefits 

  • Comprehensive medical, dental, and vision coverage (80% employer-paid) 
  • 401(k) plan 
  • Unlimited PTO policy with 15 days minimum 
  • 11 paid company holidays 
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options. 

Professional Development 

  • Annual training and certification budget 
  • Access to online learning platforms 
  • Conference attendance opportunities 
  • Regular internal technical workshops and knowledge sharing sessions 

Work Environment 

  • Remote Position with travel to Customer Sites 50% of the time 
  • Access to local co-working space
  • High-performance workstations 
  • Modern office space in Dallas with standing desks and ergonomics equipment 
  • Monthly team events and learning sessions 
  • Collaborative in-office environment fostering innovation and teamwork 

Process 

We like to be efficient but do our due diligence. Here's what you'll expect from us: 

  1. Interview with Recruiter (30-60 minutes) 
  2. Interview with Hiring Manager (30 minutes) 
  3. Technical Interviews and Presentation (Half day)
  4. Interview with CEO (45 Minutes)

Apply Now: 

Hit the apply button and submit: 

  • Detailed Resume 
  • Git Hub profile or code samples  
  • Portfolio of relevant work 
  • Brief cover letter describing your development experience 
  • References from previous roles 

4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. 

#LI-Remote

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