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Remote Large Language Model Llm Jobs (NOW HIRING)

Senior AI Developer

$55.75 - $73.75/hr

The role involves developing real-time inference calls to a large language model service in Azure ... LLM API calls from Azure Foundry to a website interface via a RESTful design • Experience in ...

Build and enhance Large Language Model (LLM) applications by leveraging vector databases and ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The successful candidates will assist in developing large language model (LLM) applications for ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... examining how large-language model (LLM)-controlled artificial agents use and develop social ...

This role is responsible for endtoend frontend and backend development and for integrating AIdriven capabilities such as intelligent automation, AI agents, and large language model (LLM) services ...

$135K - $181K/yr

As large language models rapidly outgrow the memory and compute budget of any single GPU, this ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

This role is responsible for end-to-end front-end and back-end development and for integrating AI-driven capabilities such as intelligent automation, AI agents, and large language model (LLM ...

Senior Research Scientist, Model Evaluation

$100K - $128K/yr

... large language models (LLMs), collaborating with cross-functional teams to ensure trustworthy ... in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis ...

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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 Jul 14, 2026, the average hourly pay for remote large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a Remote Large Language Model (LLM) job?

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, and why are they important?

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.

More about Remote Large Language Model Llm jobs
What cities are hiring for Remote Large Language Model Llm jobs? Cities with the most Remote Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Remote Large Language Model Llm jobs? States with the most job openings for Remote Large Language Model Llm jobs include:
Infographic showing various Remote Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
Senior AI Developer

$55.75 - $73.75/hr

Full-time

Posted 15 days ago


Job description

Job Summary:
Prorec Resource Solutions, LLC is seeking a Senior AI Developer to join their team. The role involves developing real-time inference calls to a large language model service in Azure and creating lightweight NLP algorithms for keyword flagging.
Responsibilities:
• Develop real time inference calls to a large language model service hosted in Azure.
• Develop low latency lightweight NLP algorithms for keyword flagging.
• Write clear documentation of how the system works.
• Explain the system to non-technical audiences.
Qualifications:
Required:
• Python
• Azure
• Generative AI API Frameworks
• System Design
• Real time inference calls to a large language model service hosted in Azure
• Low latency lightweight NLP algorithms for keyword flagging
• Significant level of autonomy and unilateral decision making in architecture design
• Write clear documentation of how the system works and explain it to non-technical audiences
Preferred:
• Familiarity with call center platforms like Genesys
• API best practices
• Integrating LLM API calls from Azure Foundry to a website interface via a RESTful design
• Experience in translating unstructured data to structured form fields via JSON structured design or using structured output functionality in Azure Foundry
• Understanding model deployment best practices for context creation, latency constraints, and token auditing
• Familiarity with natural language processing methods such as bag-of-words and word embeddings for representations
• An understanding of applying natural language processing techniques to conversational turns such as call transcripts or debates
• Traditional machine learning and analytics
• Multi-cloud environment and network security
• Experience in sensitive and highly regulated domains such as child welfare, health, or national security that instill an attention to data and PII best practices
Company:
ProRec Resource Solutions (PRRS) is a WOSB and SDVOSB Consulting firm managed by a strong, experienced, and ethical leadership team, with each member having more than 20 years of experience in professional IT business & Staffing solutions. Founded in 2016, the company is headquartered in Harrisburg, USA, with a team of 11-50 employees. The company is currently Early Stage.