Offer summary

Qualifications:

Students or recent graduates with an interest in AI and technology., Analytical thinkers capable of designing test cases and analyzing results., Detail-oriented individuals attentive to data handling and validation., Coding skills, especially in Python, are a plus for more technical tasks..

Key responsibilities:

Analyze business documents to understand structure and extract key information.

Design test datasets and define ground truth data for AI model evaluation.

Run tests on AI models, evaluate performance, and identify areas for improvement.

Challenge AI systems with edge cases to refine model behavior.

Job description

About the Role

We are seeking highly motivated interns to support our AI team in building and scaling robust evaluation pipelines for a variety of real-world AI use cases. This internship offers a unique opportunity to work at the intersection of AI, data analysis, and domain understanding, with room to grow into more technical tasks for those with programming skills.

This role is ideal for students or recent graduates looking to gain hands-on experience in the AI/tech space, especially those aspiring to become Business Analysts, Quality Assurance Engineers, Developers, or Product Owners.

Internship Objective

The goal of this internship program is to accelerate the testing and validation of AI solutions by leveraging intern support to ensure outputs are accurate, reliable, and ready for production deployment.

Internship Duration:

Fixed term of 2–3 months

Key Responsibilities

As an AI Evaluation Intern, you will:

Domain Analysis:
Analyze business documents such as insurance policies, claim forms, and financial reports to understand structure, logic, and extract key information.
Evaluation Data Creation:
Design structured test datasets, define ground truth data for validation, and create Q&A pairs to evaluate AI models’ reasoning and comprehension.
AI Model Testing:
Run systematic tests on various AI models, evaluate performance, and identify potential gaps and areas for improvement.
Creative Problem Solving:
Challenge AI systems with edge cases and complex scenarios to expose weaknesses and help refine model behavior.
(Optional – for those with coding skills)

Develop scripts to automate evaluation processes
Assist in building evaluation pipelines
Support data processing and basic model testing infrastructure

Who We’re Looking For

Ideal candidates are:

Analytical Thinkers:
Able to think logically and critically, especially when designing test cases and analyzing results.
Detail-Oriented:
Careful and precise in handling data, validation tasks, and documentation.
Curious About AI & Technology:
Passionate about the potential of artificial intelligence and how it applies to real-world problems.
Self-Motivated & Communicative:
Comfortable working independently in a remote environment, yet proactive in seeking feedback and collaboration.
Students or Recent Graduates:
Preferably located within the Asia timezone for better coordination.

Technical Requirements

Coding skills are not required, but a strong plus. Candidates with programming knowledge (Python preferred) will have the opportunity to work on more technical and impactful components of the evaluation pipeline.

What You’ll Gain

Hands-on experience in AI model validation and testing
Exposure to real-world use cases and diverse datasets
Practical skills in data analysis, structured evaluation design, and quality assurance
Mentorship from experienced AI engineers and product team members
Opportunity to contribute to production-ready AI infrastructure

Required profile