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Remote Llm Engineer Intern Jobs (NOW HIRING)

ProNexus

Software Engineer Intern

Strong interest in GenAI / prompt engineering, with experience building LLM-powered features ... Location / schedule * Remote * This is a fast-moving team-best for someone who can commit ...

Great Question, Inc

AI Engineer Intern

San Francisco, CA · On-site +1

LLM pipelines, agents, retrieval systems, evaluation frameworks, or prompt optimization (depending ... Format: Remote-friendly with core collaboration hours (PST) Why You'll Love Working Here: * A ...

Cotiviti

Intern - AI Engineer

$32 - $40/hr

Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level ... remote #intern

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

The Pennsylvania State University

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Development Engineer Intern to join our Mission Systems (MS) Department at the Applied Research ...

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

As of Jul 15, 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 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 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 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 July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Software Engineer Intern

Software Engineer Intern

ProNexus

Remote

Full-time

Posted 28 days ago

Job description

We're building ProNexus: the all-in-one platform for sourcing human intelligence with AI.
Consulting and research teams rely on human experts for primary research-finding them, vetting them, scheduling them, capturing insights, and turning those insights into reusable knowledge. Today that work is fragmented across inboxes, spreadsheets, CRMs, and manual workflows.
ProNexus brings it together: AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an "org memory layer" where insights compound over time instead of getting lost in decks and docs.
Right now it's two founders. We're looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production code, learn fast, and take real ownership-without "intern busywork."
This internship is for you if...
  • You've built backend systems in Python and want to go deeper.
  • You're excited about GenAI + agent workflows and can write strong prompts / schemas to get reliable outputs.
  • You like building one-off AI agents for specific workflows (extract → classify → enrich → route) and iterating until they're dependable.
  • You ship fast, unblock yourself, and don't need hand-holding to make progress.
  • You enjoy a tight feedback loop with founders and real users.

What you'll do
  • Build and ship backend features end-to-end (API → DB → integrations).
  • Implement and improve FastAPI endpoints, background jobs, and core services.
  • Work with Postgres (Supabase): schema changes, queries, performance, data integrity.
  • Integrate external systems (e.g., enrichment providers, outreach tooling, internal workflows).
  • Help us build one-off AI agents that automate internal + customer workflows (e.g., sourcing support, enrichment, summarization, extraction, classification, routing).
  • Write and iterate on prompts, few-shot examples, and structured outputs (JSON schemas) to make agent behavior consistent.
  • Improve agent quality with lightweight evals: small test sets, edge cases, regression checks, and prompt/version tracking.
  • Add tests, logging, and basic observability so we can move fast without breaking things.

Our current stack
  • Python (FastAPI)
  • Supabase (Postgres)
  • Render
  • React / Next.js + TypeScript (you don't need to be frontend-heavy, but bonus if you can contribute)
  • AI: LLMs + agent workflows

What we're looking for (requirements)
  • Strong Python fundamentals (clean code, typing hygiene, debugging ability).
  • Comfortable with HTTP APIs, JSON, auth patterns, and database-backed systems.
  • Strong interest in GenAI / prompt engineering, with experience building LLM-powered features (projects are totally fine).
  • Some experience shipping something real (project, internship, open source, production app).

Location / schedule
  • Remote
  • This is a fast-moving team-best for someone who can commit meaningful hours consistently.

Apply