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AI Intern – Small Language Models (SLMs) & OCR Systems

Min Experience

0 years

Location

remote

JobType

Internship

About the job

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About the role

We're looking for a curious, motivated AI Intern to work directly with our lead engineer on cutting-edge Small Language Models (SLMs) and OCR-based AI systems. This is a hands-on role focused on offline-first AI that runs locally, efficiently, and without the cloud. You'll experiment with tools like Ollama, fine-tune models like Phi-3 and Mistral, and build real-world applications designed for resource-constrained environments. šŸ”§ What You'll Work On Fine-tune SLMs (especially Phi-3, Mistral) Build and test local deployments using Ollama Develop OCR-powered search tools using fine-tuned LMs Implement offline-first AI pipelines Explore Model Context Protocol (MCP) integrations Optimize model performance for lightweight, local environments Collaborate closely with a lead engineer in a mentorship-driven setup šŸŽ“ Who Should Apply No prior job experience required — we value self-learners, builders, and curious minds. āœ… Minimum Qualifications: Studying or recently graduated in CS, AI/ML, Data Science, or similar Familiarity with SLMs and LLMs Some hands-on exposure to: Fine-tuning or training models Ollama, Phi-3, or Mistral OCR libraries or document processing Python, PyTorch, or Hugging Face 🌱 Preferred Traits: You've explored AI through personal projects, online courses, or tutorials You're excited by local AI systems and low-resource ML You can learn independently and build without much hand-holding You love tinkering, reading docs, and figuring things out on your own šŸ› ļø Tech Stack & Tools Models: Phi-3, Mistral, other SLMs Frameworks: PyTorch, Hugging Face Transformers Tools: Ollama, Git, local dev environments Specializations: Offline AI, model optimization, document OCR Preferred (Bonus): Model Context Protocol (MCP) experience šŸš€ What You'll Get 1:1 mentorship from our lead engineer Deep exposure to real-world AI deployment Opportunities to experiment, break things, and learn fast A learning-first culture with space to grow Experience at a startup where your work actually matters Flexible, fully remote work setup Competitive stipend šŸ“† Internship Details Duration: 3–6 months Location: Remote Timing: Flexible hours; we work around your academics Type: Internship only (not full-time)

Skills

SLMs
LLMs
Fine-tuning
Training models
Ollama
Phi-3
Mistral
OCR
Document processing
Python
PyTorch
Hugging Face