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Llm Remote Jobs (NOW HIRING)

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ...

Jobgether

Design, build, and maintain LLM-powered AI components supporting internal tools and user-facing ... Remote-first international work environment with high autonomy and flexibility. * Exposure to ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The goal of this project is to create a structured analysis of information flow in modular, LLM ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... Guide teams in adopting and building LLM-powered applications, including context engineering ...

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Llm Remote information

How can I make 2000 a week working from home?

Llm Remote roles typically involve tasks like data annotation, content review, or AI training, which can pay hourly or per project. To earn $2000 weekly, you may need to combine multiple freelance or contract positions, develop specialized skills, and work full-time hours, often requiring strong communication and technical proficiency. Building a portfolio and leveraging remote job platforms can help find higher-paying opportunities in this field.

What is an LLM Remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What are some common challenges faced by remote Large Language Model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

How to make $1000 a week remotely?

To make $1000 a week remotely, individuals can pursue high-paying freelance roles such as content writing, programming, or digital marketing, often requiring specialized skills and experience. Building a strong portfolio, acquiring relevant certifications, and consistently applying to well-paying remote jobs or freelance projects can help achieve this income level.

What jobs can I do with LLM?

With an LLM (Master of Laws), you can pursue careers such as legal analyst, corporate counsel, compliance officer, or legal consultant. These roles often require strong research, writing, and analytical skills, and may involve working in law firms, corporations, or government agencies.

Which LLM is in demand?

In the field of large language models (LLMs), models like OpenAI's GPT-4 and GPT-3.5 are highly sought after for their advanced natural language processing capabilities. Skills in training, fine-tuning, and deploying these models, along with experience in machine learning frameworks such as TensorFlow or PyTorch, are in high demand for roles involving LLM development and application.

What are the key skills and qualifications needed to thrive as an LLM Remote Engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.
More about Llm Remote jobs
What cities are hiring for Llm Remote jobs? Cities with the most Llm Remote job openings:
What are the most commonly searched types of Llm jobs? The most popular types of Llm jobs are:
What states have the most Llm Remote jobs? States with the most job openings for Llm Remote jobs include:
What job categories do people searching Llm Remote jobs look for? The top searched job categories for Llm Remote jobs are:
Llm Remote jobs near you
Infographic showing various Llm Remote job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 89% Full Time, 2% Part Time, 2% Contract, and 2% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Fuku

San Francisco, CA • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

NexaFlow is building a next-generation code review tool powered by large language models. We are seeking a Senior Full-Stack Engineer to lead the development of a proof-of-concept prototype that integrates LLM-based analysis into existing CI/CD workflows.
Responsibilities:

  • D
    • esign and implement a full-stack application that integrates LLM APIs (OpenAI/Anthropic) for automated code review.
  • B
    • uild webhook-based integrations with GitHub/GitLab to automatically analyze pull requests.
  • D
    • evelop a hybrid analysis pipeline combining LLM reasoning with static analysis for bug detection, security vulnerability identification, and code quality enforcement.
  • C
    • reate a configurable rule engine allowing per-repository custom review policies.
  • B
    • uild a dashboard displaying review statistics, trends, and actionable insights.
  • C
    • ontainerize the entire solution with Docker for easy self-hosted deployment.
  • O
    • wn the full lifecycle from architecture design through deployment and documentation.
    Requirements:
  • 5
    • + years of professional full-stack development experience.
  • S
    • trong experience integrating LLM APIs (OpenAI GPT-4, Anthropic Claude) into production systems.
  • H
    • ands-on experience with CI/CD pipeline integration (GitHub Actions, GitLab CI).
  • P
    • rior work building code review tools, linters, or static analysis systems.
  • P
    • roficiency in Python (FastAPI) or Node.js for backend; React or Vue for frontend.
  • E
    • xperience with Docker containerization and self-hosted deployment.
  • A
    • bility to work independently across the full stack from architecture to deployment.
  • S
    • trong communication skills for async collaboration.
    Nice to Have:
  • E
    • xperience with RAG (Retrieval-Augmented Generation) architectures.
  • F
    • amiliarity with CodeQL, Semgrep, or similar static analysis tools.
  • P
    • revious startup or PoC-stage project experience.
  • C
    • ontributions to open-source developer tools.
    Additional Information:
  • T
    • his is a contract/consulting engagement, not a full-time employee role.
  • W
    • e value flexibility and outcome-driven collaboration.
  • R
    • emote-friendly with a preference for candidates in the San Francisco Bay Area.

    Fuku logo

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015

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