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Remote Large Language Model Llm Jobs in Allen, TX

... models. - Exposure to AI/ML and GenAI systems, including LLM-enabled solutions. - Programming or scripting experience in Python or similar languages (preferred). Compliance, Governance & Quality ...

ChatGPT Tutor

Mckinney, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Senior eDiscovery Analyst

Dallas, TX · Remote

$91K - $115K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... Fundamental working knowledge of large language models (LLMs) and generative AI as applied to ...

ChatGPT Tutor

Plano, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Carrollton, TX · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Korean Language Expert

Dallas, TX · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... AI models' ability to understand and generate accurate, natural, and culturally appropriate ...

Implement secure AI orchestration workflows using Lang Graph to manage complex reasoning chains and ensure secure data access for Large Language Models. Develop rapid proofs-of-concept (POCs) to ...

Showing results 41-60

Remote Large Language Model Llm information

See Allen, TX salary details

$13

$22

$35

How much do remote large language model llm jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote large language model llm in Allen, TX is $22.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $27.07 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are popular job titles related to Remote Large Language Model Llm jobs in Allen, TX?

For Remote Large Language Model Llm jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Allen, TX look for?

The top searched job categories for Remote Large Language Model Llm jobs in Allen, TX are:

What cities near Allen, TX are hiring for Remote Large Language Model Llm jobs?

Cities near Allen, TX with the most Remote Large Language Model Llm job openings:

Solution Architect AI & ML for Healthcare solutions

NTT DATA Services

Plano, TX • Remote

$60.25 - $79.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Req ID: 375004 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Solution Architect AI & ML for Healthcare solutions to join our team in Plano, Texas (US-TX), United States (US).

AI Solution Architect for Healthcare Provider Segment

About the Role

We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for healthcare systems, hospitals, academic medical centers, physician groups, and integrated delivery networks.

This role will partner with clinical, operational, financial, digital, data, and technology leaders to translate provider business challenges into scalable AI-enabled solutions. The ideal candidate has strong knowledge of provider operations, electronic health record ecosystems, clinical workflows, healthcare data standards, cloud architecture, analytics platforms, and responsible AI practices.

The AI Solutions Architect will lead solution design across areas such as clinical documentation, revenue cycle, patient access, capacity management, care coordination, population health, quality improvement, provider experience, patient engagement, supply chain, and administrative automation.

Location:  Remote in the United States

What You’ll Do

  • Design end-to-end AI and generative AI solutions for provider use cases, including architecture, data flows, integration patterns, model selection, workflow integration, governance, security, and deployment approach.
  • Partner with healthcare system stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps.
  • Lead solutioning for provider-specific domains such as electronic health records, clinical documentation, patient access, scheduling, revenue cycle, coding, billing, denials management, care coordination, population health, quality reporting, command centers, and patient engagement.
  • Develop reference architectures using cloud platforms, EHR integration services, data lakes, warehouses, lakehouses, MLOps pipelines, APIs, interoperability layers, workflow tools, and enterprise integration patterns.
  • Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, computer vision, intelligent automation, and decision support in healthcare delivery settings.
  • Collaborate with data scientists, engineers, clinicians, informaticists, compliance teams, security architects, revenue cycle leaders, and delivery teams to move concepts from prototype to production.
  • Define responsible AI controls, including model monitoring, explainability, clinical safety review, human-in-the-loop validation, bias assessment, auditability, privacy, cybersecurity, and regulatory compliance.
  • Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, executive briefings, and innovation strategy sessions.
  • Evaluate vendor platforms and AI tools across EHR ecosystems, cloud, clinical documentation, revenue cycle, patient engagement, workflow automation, and analytics.
  • Create reusable assets, including provider AI solution blueprints, architecture patterns, implementation playbooks, data requirements, governance frameworks, and value case templates.

What We’re Looking For

  • Bachelor’s degree in computer science, information systems, engineering, data science, healthcare informatics, clinical informatics, or a related field.
  • 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or healthcare technology consulting.
  • 4+ years of experience supporting healthcare providers, health systems, hospitals, academic medical centers, physician groups, or integrated delivery networks.
  • Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments.
  • Strong understanding of provider business and clinical processes, including patient access, EHR workflows, clinical documentation, care delivery, revenue cycle, quality reporting, population health, and patient engagement.
  • Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, CDA, X12, USCDI, interoperability requirements, and clinical data exchange.
  • Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, integration, and governance services.
  • Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, clinical validation, and AI governance.
  • Ability to communicate complex technical concepts to executive, clinical, operational, financial, and technical audiences.
  • Strong consulting, facilitation, problem-solving, stakeholder management, and executive presentation skills.

Required Qualifications:

  • 8+ years of experience in designing and developing AI/ML solutions
  • 4+ years of experience in healthcare Provider technology, consulting, or systems integration.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $119,578 - $221,625. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967