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
This role is ideal for
, with room to grow into more technical tasks for those with programming skills.
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
f 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:
AI Model Testing: Run systematic tests on various AI models, evaluate performance, and identify potential gaps and areas for improvement.
Domain Analysis: Analyze business documents such as insurance policies, claim forms, and financial reports to understand structure, logic, and extract key information.
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)
Evaluation Data Creation: Design structured test datasets, define ground truth data for validation, and create Q&A pairs to evaluate AI models&039; reasoning and comprehension.
Develop scripts to automate evaluation processes
Assist in building evaluation pipelines
Support data processing and basic model testing infrastructure
Who We&039;re Looking For
Ideal candidates are:
Detail- Oriented: Careful and precise in handling data, validation tasks, and documentation.
Students or Recent Graduates: Preferably located within the Asia timezone for better coordination.
Self- Motivated & Communicative: Comfortable working independently in a remote environment, yet proactive in seeking feedback and collaboration.
Analytical Thinkers: Able to think logically and critically, especially when designing test cases and analyzing results.
Curious About AI & Technology: Passionate about the potential of artificial intelligence and how it applies to real- world problems.
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&039;ll Gain
Exposure to real- world use cases and diverse datasets
Opportunity to contribute to production- ready AI infrastructure
Mentorship from experienced AI engineers and product team members
Hands- on experience in AI model validation and testing
Practical skills in data analysis, structured evaluation design, and quality assurance
APPLY HERE
