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Remote Large Language Model Llm Jobs (NOW HIRING)

Xforia, Inc.

Data Scientist

... Large Language Model (LLM) solution to check coherence and consistency. Resource will also develop and modify existing models related to customer long term engagement and retention. This role will ...

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Strong understanding of large language model (LLM) capabilities, limitations, prompt engineering ...

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Strong understanding of large language model (LLM) capabilities, limitations, prompt engineering ...

Aston Carter

Controller

Manhattan, NY · Remote

$125/hr

Test and review outputs generated by AI and Large Language Model (LLM) technologies. What We're ... Ability to work independently in a fully remote environment. * Basic familiarity with AI, ChatGPT ...

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

As of Sep 13, 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?

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.

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Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in the United States as of September 2026, with employment types broken down into 49% Full Time, 13% Part Time, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Data Scientist

Remote

Xforia, Inc.
IT Services • 51 - 200 employees
Learn more about Xforia, Inc.external

Contractor

Re-posted 26 days ago

Job description

Job Description:
SKILLS
• Languages: Python, SQL, R, PySpark
• Technology: Azure, GCP, Databricks, Snowflake, SQL Server
• Data Science Libraries: Pandas, Numpy, Matplotlib, Scikit-learn, LightGBM, XGBoost, OpenAI • Coursework: Data Mining, Data Visualization, Foundations of Analytics, Database Management, Web Analytics, Software Engineering
Sourcing Experience and High Volume Experience
Job Optimization
Trust and Safety
Revenue Intelligence and Enablement Science
Deliverables
Resource will deliver a Large Language Model (LLM) solution to check job description coherence and
consistency.
Resource will also develop and modify existing models related to customer long term engagement
and retention.
This role will focus on Job Optimization, and the expectation on the quality of code (model implementation) is high

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