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Generative AI Intern (Unpaid)

⚠️ Applications will only be accepted through the following site:

www.owlera.site

About Owlera

Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies.

Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers.

We're looking for curious, inventive, and ambitious students to join our Generative AI Internship and gain hands-on experience building with the tools that are reshaping every industry — large language models, AI agents, and multimodal generative systems.

About the Internship

As a Generative AI Intern, you'll work on realistic generative-AI challenges involving text generation, AI assistants, RAG systems, and agentic workflows — building applications that reason, create, and act with real language models.

You'll learn how AI practitioners turn raw model capabilities into working products — designing prompts and evaluation sets, orchestrating agents and tools, and handling the quirks of real-world model behavior.

Responsibilities

* Design and iterate on prompts for text generation, classification, and reasoning tasks.

* Build LLM-powered features using APIs (OpenAI, Anthropic, open-weight models).

* Implement retrieval-augmented generation (RAG) over documents and knowledge bases.

* Build simple AI agents that can use tools, browse, and complete multi-step tasks.

* Create evaluation sets and run model evaluations (accuracy, faithfulness, refusal behavior).

* Experiment with function calling, structured outputs, and prompt chaining.

* Prototype AI chatbots and copilots for realistic use cases.

* Work with embeddings, vector databases, and semantic search.

* Generate synthetic data to train or evaluate models.

* Implement guardrails and safety checks for model outputs.

* Fine-tune or LoRA-adapt smaller models for specific tasks.

* Compare models and select the right model for each task (cost vs quality tradeoffs).

* Experiment with multimodal models (text + image, vision-language tasks).

* Build simple demos with Streamlit, Gradio, or web interfaces.

* Track experiments and write clear documentation of results and learnings.

* Collaborate with other interns on cross-functional AI projects.

* Turn real-world problems into generative-AI product formulations.

Requirements

* Current student or recent graduate in Computer Science, AI, Data Science, or a related field — or a strong self-taught coding portfolio.

* Strong interest in large language models and generative AI.

* Basic programming skills (Python is a plus).

* Comfortable with basic math — probability, statistics, and linear algebra at an introductory level.

* Analytical and logical thinking with close attention to detail.

* Self-motivated and able to work independently on technical challenges.

* Comfortable experimenting, failing fast, and iterating.

* Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus.

* Previous professional machine-learning experience is not required.

What You'll Gain

* Hands-on experience building real generative-AI applications, not just theory.

* Practical experience with LLMs, RAG pipelines, and AI agents.

* Experience evaluating and improving AI systems on realistic tasks.

* Understanding of how AI features are designed, shipped, and iterated.

* Practical exposure to modern LLM APIs, vector databases, and agent frameworks.

* Portfolio-ready generative-AI projects built on realistic use cases.

* Personalized AI feedback on your work.

* Professional certificate upon successful completion.

* Mentorship and weekly learning sessions.

* Opportunity to strengthen your portfolio, resume, and interview readiness.

Internship Details

Role: Generative AI Intern

Location: Remote

Type: Internship (Unpaid)

Level: Entry Level

Duration: 6 Weeks

Commitment: Flexible (approximately 10–15 hours per week)

If you're fascinated by what large language models can build and want to learn how real generative-AI products are created, we'd love to hear from you.

⚠️ Apply through:

www.owlera.site