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Remote Llm Training Jobs in Texas (NOW HIRING)

Forward Deployed Engineer

Dallas, TX ยท 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

Forward Deployed Engineer

Dallas, TX ยท 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

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Architect end-to-end AI systems including data pipelines, model training workflows, AI service ...

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Remote Llm Training information

What is remote LLM training?

Remote LLM training refers to the process of training large language models (LLMs), such as GPT or similar AI models, on distributed computing resources that are accessed remotely. This allows data scientists and AI engineers to leverage powerful hardware, like GPUs or TPUs, which may not be available locally. Remote LLM training is commonly used to handle the massive computational requirements of modern AI models and enables collaboration among teams in different locations. It also provides scalability, flexibility, and cost-effectiveness for organizations working on advanced AI projects.

What skills and qualifications are needed for remote LLM training?

To excel in Remote LLM Training, you need a strong background in machine learning, natural language processing, and computer science, often demonstrated by a relevant degree or industry experience. Familiarity with frameworks like PyTorch or TensorFlow, experience with large-scale data management, and knowledge of distributed computing systems are typically required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills in this remote, collaborative environment. These competencies ensure efficient model training, high-quality output, and seamless teamwork across distributed teams.

What are common challenges in remote LLM training, and how can they be addressed?

Professionals in remote LLM (Large Language Model) training roles often face challenges such as managing distributed team communication, ensuring data privacy, and handling large-scale computational resources. Staying organized with asynchronous collaboration tools and maintaining clear documentation can help streamline teamwork. Additionally, understanding cloud-based infrastructure and adhering to strict data security protocols are essential for handling sensitive datasets. Regular check-ins and knowledge-sharing sessions also foster a supportive and productive remote work environment.

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

AspectRemote Llm TrainingData Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, domain expertise
Work EnvironmentRemote, collaborative teams, AI/ML companiesRemote or on-site, diverse industries
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Remote Llm Training focuses on developing and fine-tuning large language models, requiring expertise in NLP and machine learning. Data Scientists analyze data to extract insights and build models across various industries. While both roles involve programming and data skills, Remote Llm Training is specialized in AI model development, whereas Data Scientists work on broader data analysis tasks.

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

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

What job categories do people searching Remote Llm Training jobs in Texas look for?

The top searched job categories for Remote Llm Training jobs in Texas are:

What cities in Texas are hiring for Remote Llm Training jobs?

Cities in Texas with the most Remote Llm Training job openings:

Infographic showing various Remote Llm Training job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Forward Deployed Engineer

4MindsAI Inc.

Dallas, TX โ€ข On-site, Remote

$190K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Missionย 

4MINDS is an enterprise AI fine-tuning platform that transforms how organizations build andย operateย 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.ย 

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.ย 

Role Overviewย 

As aย Forward Deployed Engineer (FDE),ย you'llย operateย at the intersection ofย engineering, AI, and live customer systems. You'llย work directly withย enterpriseย clients to deploy, debug, andย optimizeย 4MINDS LLM training platform.ย 

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

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

Key Responsibilitiesย 

  • Partner directly with customers,ย fromย presalesย throughย onboarding andย production, toย ensure theย 4Mindsย platform delivers new models for our clients.ย 
  • Debug, tune, andย optimizeย real-time LLM development pipelines for clients.ย ย 
  • Build andย maintainย lightweightย integrations,ย automations, and scriptsย connecting customer systems (TMS, CRMs, APIs) to our AI stack.ย 
  • Work closely withย core engineering and product teamsย to reproduce, isolate, and resolve field issues rapidly.ย 
  • Developย deploymentย playbooks and reusable frameworksย that make future rollouts faster and more reliable.ย 
  • Surface insights and edge cases from customer operations to informย model tuning, UX design, and roadmap priorities.ย 
  • Represent engineering in the fieldย andย communicate clearly with both technical and non-technical stakeholders.ย 
  • Ship quickly, iterate aggressively, andย own every deployment likeย it'sย your own product.ย 

Required Qualificationsย 

  • BS in Computer Science, Engineer, or related technical fieldย 
  • 3+ years inย technical customer interfacing implementation roleย 
  • 5+ years inย software engineeringย 
  • Strong experience with AI/LLM pipelines and open-source models including prompting, orchestration, or model tuning.
  • Strong proficiencyย inย Python, Node.js, or TypeScriptย ย 
  • Ableย to build integrations and debug live systems.ย 
  • Experience withย real-time APIs, WebRTC, or streaming systems.ย 
  • Clear technical communication and ability to work directly with customer teams under time pressure.ย 
  • Comfort working inย high-stakes, production environmentsย where reliability and speedย matter.ย 
  • Deep ownershipย mindset:ย you care about outcomes, not job titles.ย 

Preferred Qualificationsย 

  • MS in Computer Science, Engineer, or related technical fieldย 
  • Expertiseย in working with AI/LLM pipelines including prompting, orchestration, or model tuning.ย 
  • 5+ years in enterprise technical implementation rolesย 
  • 8+ years in software engineeringย 
  • Expertย proficiencyย in Python,ย Node.js, orย TypeScriptย ย 
  • Able to build integrations and debug live systems.ย 
  • Previousย Enterprise experience implementingย new technologiesย 
  • Passion and Desire to work with clients to deliver impact on their businessesย 

Compensationย 

  • Base salary range: $190,000ย - $225,000ย annuallyย 
  • Competitive equity package in venture-backed startupย 
  • Performance-based bonus structureย 
  • Annual merit-based salary reviewsย 
  • Stockย 

Benefitsย 

  • Comprehensive medical, dental, and vision coverage (80% employer-paid)ย 
  • 401(k) planย 
  • Unlimited PTO policy withย 15 daysย minimumย 
  • 11 paid company holidaysย 
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options.ย 

Professional Developmentย 

  • Annual training and certification budgetย 
  • Access to online learning platformsย 
  • Conference attendance opportunitiesย 
  • Regular internal technical workshops and knowledge sharing sessionsย 

Work Environmentย 

  • Remote Position with travelย to Customer Sitesย 50% of the timeย 
  • Access to local co-working space
  • High-performance workstationsย 
  • Modern office space in Dallas with standing desks and ergonomics equipmentย 
  • Monthly team events and learning sessionsย 
  • Collaborative in-office environment fostering innovation and teamworkย 

Processย 

We like to be efficient but do ourย due diligence.ย Here'sย whatย you'llย expect from us:ย 

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

Apply Now:ย 

Hit the apply button andย submit:ย 

  • Detailed Resumeย 
  • Git Hub profile or code samplesย ย 
  • Portfolio of relevant workย 
  • Brief cover letter describing your development experienceย 
  • References fromย previousย rolesย 

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

#LI-Remote