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Remote Large Language Model Llm Jobs in Raleigh, NC

Presence

Speech Pathologist

Apex, NC · Remote

$40 - $55/hr

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Presence

Educational Speech Pathologist

Apex, NC · Remote

$40 - $55/hr

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Presence

Speech Therapist

Apex, NC · Remote

$40 - $55/hr

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Presence

Speech Therapy Clinician

Apex, NC · Remote

$40 - $55/hr

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

Presence

Virtual Speech Therapist

Apex, NC · Remote

$40 - $55/hr

Provide speech-language teletherapy * Participate in IEP meetings * Complete comprehensive case ... large community of remote providers access to an award-winning platform, assessment and therapy ...

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Remote Large Language Model Llm information

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

As of Aug 16, 2026, the average hourly pay for remote large language model llm in Raleigh, NC is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $28.27 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.

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 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.

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 the most commonly searched types of Large Language Model Llm jobs in Raleigh, NC?

The most popular types of Large Language Model Llm jobs in Raleigh, NC are:

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

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

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

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

What cities near Raleigh, NC are hiring for Remote Large Language Model Llm jobs?

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Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $49,211 per year, or $23.7 per hour.

Director, AI Engineering

WaferWire Cloud Technologies

Morrisville, NC • On-site, Remote

$170K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Job Title: Director, AI Engineering
Location: Morrisville, NC
Worksite: Remote
About WCT
WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.
Description and Requirements
About Our Team
  • Client is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. As Head of Core Intelligence, you will lead the engineering teams responsible for the "AI brain" of the system - including agentic orchestration, reasoning, fused memory, RAG retrieval, perception models, recommendation systems, and model optimization.
  • You will own the intelligence substrate that powers every AI experience ships across millions of devices. This is a hands-on engineering leadership role, combining deep technical understanding with the ability to operate across multiple layers of the AI stack.
  • We recently introduced Qira, our new cross-device Personal AI that works seamlessly across products.

Location: Remote work in the US is an option with 25% travel.
What You'll Do
  • Build and lead the Core Intelligence organization, owning agentic systems, orchestration, routing, tool frameworks, RAG retrieval, memory, knowledge graph, and perception signals.
  • Architect the intelligence layer for hybrid AI: on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding.
  • Drive the development of perception-based triggers, wake-word detection logic, screenshot and audio understanding, OCR/ASR pipelines.
  • Own the recommendation and next-action engines, working closely with Experience Engineering to deliver contextual, proactive AI.
  • Lead the optimization of small and medium models (SLMs): quantization, distillation, pruning, and device-specific tuning.
  • Partner closely with Platform Engineering, Cloud Platform, SRE & Delivery, and Experience teams to ensure Core Intelligence is performant, reliable, and tightly integrated.
  • Define evaluation frameworks and quality gates for intelligence features such as retrieval accuracy, hallucination avoidance, model grounding, and agent reliability.
  • Set the technical direction for the intelligence roadmap, balancing innovation, prototyping, and production reliability.
  • Mentor senior ICs across perception, agentic systems, RAG, memory, and model optimization.
  • Collaborate with research, product, and design teams to bring new agent capabilities and multimodal experiences to life.

Basic Qualifications
  • 12+ years of engineering experience with at least 5 years leading teams in AI/ML systems, agent platforms, search, recommendation, or applied ML infrastructure.
  • Hands-on experience with orchestration frameworks, agentic systems, LLM/SLM pipelines, RAG systems, embeddings, and memory architectures.
  • Strong technical depth in at least one of: perception models (OCR/ASR/vision), retrieval systems, reinforcement learning, model optimization, distributed systems.
  • Experience building systems that run across device + cloud in hybrid or edge environments.

Preferred Qualifications
  • Demonstrated ability to lead senior ICs, set technical direction, and deliver complex AI systems at scale.
  • Strong collaboration skills across platform teams, cloud engineering, UX/experience engineering, and SRE organizations.
  • Ability to thrive in fast-paced, evolving environments and shape the engineering culture for a new AI platform.
  • 25% global travel ability

Compensation / Salary Range: The typical pay range for this role is: USD $170,000/Yearly - $180,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.
WCT will accept applications and processes offers for these roles until the role is filled.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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