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.
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.
The internship has a fixed term of 2–3 months.
As an AI Evaluation Intern, you will be responsible for analyzing business documents, designing structured test datasets, running systematic tests on AI models, and creatively solving problems to refine model behavior.
For those with coding skills, there is an opportunity to develop scripts to automate evaluation processes and assist in building evaluation pipelines.
Requirements:
Ideal candidates should be analytical thinkers, able to think logically and critically, especially when designing test cases and analyzing results.
Candidates must be detail-oriented, careful and precise in handling data, validation tasks, and documentation.
A passion for AI and technology is essential, with a curiosity about the potential of artificial intelligence and its real-world applications.
Candidates should be self-motivated and communicative, comfortable working independently in a remote environment while being proactive in seeking feedback and collaboration.
Students or recent graduates are preferred, ideally located within the Asia timezone for better coordination.
Coding skills are not required but are a strong plus; candidates with programming knowledge (Python preferred) will have the opportunity to work on more technical components of the evaluation pipeline.
Benefits:
Interns will gain hands-on experience in AI model validation and testing.
There will be exposure to real-world use cases and diverse datasets.
Interns will develop practical skills in data analysis, structured evaluation design, and quality assurance.
Mentorship from experienced AI engineers and product team members will be provided.
Interns will have the opportunity to contribute to production-ready AI infrastructure.
