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Llm Remote Jobs (NOW HIRING)

Upstart

Principal Engineer, LLM

OR · On-site +1

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross ... Remote USA/Canada with quarterly travel. Time zone requirements The team operates on the East/West ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and translate that ...

Digital Links Inc

AI LLM (W2)

Glen Allen, VA · Remote

Remote Work Requirements AI LLM GC/USC Work must be performed from a secure, fixed location with reliable high-speed internet within the contiguous United States. Interview Process Our process is ...

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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.

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.

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.

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Llm Remote jobs near you
Infographic showing various Llm Remote job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 4% Physical, and 96% Remote job distribution.
Generative AI Engineer (LLM) Remote EdTech

Generative AI Engineer (LLM) Remote EdTech

AMIRA LEARNING INC

Manhattan, NY • On-site, Remote

Full-time

Medical

This job post has expired today. Applications are no longer accepted.

Job description

AMIRA LEARNING INC is seeking a results-oriented generative AI practitioner to enhance LLM-powered systems. The role focuses on designing and continuously improving AI features and collaborating across product and engineering teams. Candidates should have at least 2 years of experience in production, strong skills in prompt engineering and Python, and familiarity with cloud infrastructure.

The position offers a remote work environment with competitive benefits including health coverage and stock options. #J-18808-Ljbffr

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