AI Intern

About Us

At InzpireU, we are on a mission to

amplify human potential

through AI-powered mentorship, learning, and accountability. We believe AI should serve as an enabler of growth—not a replacement for people. As an AI Intern, you will be part of a passionate team building next-gen solutions that combine

AI, data, and human guidance

to transform how individuals and organizations learn, grow, and succeed.

Role Overview

We are seeking a motivated

AI Intern

who is eager to gain hands-on experience in applied AI, product development, and data-driven solutions. You will support the design, development, and testing of AI features across mentorship, learning personalization, and outcome tracking.

This is an excellent opportunity to

learn, experiment, and build

real-world AI applications in a fast-paced startup environment.

Key Responsibilities

Assist in building and fine-tuning AI / ML models (LLMs, recommendation engines, NLP, etc.).

Support integration of AI features into our platform (e.g., Co-Guru, APEX™ assessments, document writers).

Research emerging AI tools and frameworks (e.g., LangChain, OpenAI, Gemini, vector databases) and provide insights for adoption.

Help design conversational AI prompts, workflows, and evaluation strategies.

Work with the engineering team to clean, label, and prepare datasets.

Document experiments, findings, and best practices to build internal AI knowledge.

Collaborate with product managers and mentors to align AI solutions with user needs.

Requirements

Currently pursuing a degree in

Computer Science, AI / ML, Data Science, or related field .

Basic understanding of

Python , ML libraries (TensorFlow, PyTorch, scikit-learn), or LLM frameworks.

Familiarity with

APIs, databases, and cloud services

(AWS / GCP / Azure is a plus).

Strong interest in

Generative AI, NLP, and applied machine learning .

Analytical mindset with eagerness to learn and experiment.

Good communication skills and ability to work in a collaborative, remote-first team.

Preferred (Nice to Have)

Hands-on experience with

LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS) .

Exposure to

AI ethics, bias mitigation, and responsible AI frameworks .

Prior projects (academic or personal) in

chatbots, recommendation systems, or predictive analytics .

What You’ll Gain

Real-world exposure to

AI product development in a startup environment .

Mentorship from experienced engineers and AI innovators.

Opportunity to contribute to features that directly impact users.

Potential pathway to a

full-time AI Engineer role

upon successful completion.