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Remote Llm Engineer Intern Jobs (NOW HIRING)

Outlier AI

OpenClaw LLM Engineer (Remote)

Chicago, IL · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

Outlier AI

OpenClaw LLM Engineer (Remote)

San Jose, CA · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Atlanta, GA · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Memphis, TN · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Dallas, TX · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems. Ideal Qualifications * 2+ years of ...

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Remote Llm Engineer Intern information

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How much do remote llm engineer intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote llm engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What are the typical projects and responsibilities for a Remote LLM Engineer Intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What is a Remote LLM Engineer Intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

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What cities are hiring for Remote Llm Engineer Intern jobs? Cities with the most Remote Llm Engineer Intern job openings:
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What job categories do people searching Remote Llm Engineer Intern jobs look for? The top searched job categories for Remote Llm Engineer Intern jobs are:
Remote Llm Engineer Intern jobs near you
Infographic showing various Remote Llm Engineer Intern job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI/LLM Engineer (remote)

Safe Sign Technologies

Cambridge, MA • On-site, Remote

$150K/yr

Full-time

Posted 17 days ago

Job description

Join Safe Sign Technologies, a cutting-edge legal technology start-up founded at the University of Cambridge. Safe Sign aims to democratise the law for all people, equipping consumers and SMEs with robust and reliable tools to navigate legal complexity. As an AI/LLM Engineer, you will work alongside a world-leading team, innovating and delivering best-in-class technologies, often in demanding conditions and against challenging deadlines. Independent working, subject matter excellence and proactiveness are essential.
Responsibilities
  • LLM prompt engineering (Instruction Tuning, Chain-of-thought, automated prompt Engineering)
  • LLM training & fine-tuning (Parameter Efficient, Few-medium shot, )
  • Experimentation
  • Analysis and presenting results
  • Active study and keeping up with research literature
  • Ability to work independently
  • Ability to work towards an agreed goal and meet demanding deadlines

Qualifications and experience
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related fields
  • Ability to implement and verify state-of-the-art algorithms
  • Experience running and managing experiments, analysing results and creating insights
  • Proficiency in software development (Python, Github, Jupyer Notebooks, etc.)
  • Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow)
  • Experience with ML / LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.)
  • Good problem-solving and communication skills
  • Ability to work in a dynamic and fast-paced environment
  • Ability to demonstrate passion and knowledge in terms of relevant research topics
  • Experience solving complex technical problems

Qualifications and experience (preferred)
  • Master's or PhD in NLP or Machine Learning
  • First author/lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS)
  • Demonstrated projects where relevant expertise has been used for real problems
  • Several years of experience working in this field

Salary & Benefits
  • Up to $150k/year salary
  • Real ability to shape technical agenda and have a deep impact
  • Mentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard)
  • Fully remote working

Apply