Context Scaler AI labs is doing breakthrough work in helping models improve especially for enterprise use cases thus driving enterprise AI adoption Within a span of 6 months we are already working with each of the Frontier AI Lab behind top 5 AI Models on LMArena and doing revenue in double digit million dollars Our team includes two ICPC World Finalists along with engineers who have previously worked at leading companies and startups such as Meta Google Apple and others The work of the AI Lab spans RL environments that simulate real software tools and workflows data benchmarking and evaluation systems that measure model capability custom datasets designed to improve frontier models and execution platforms that enable repeatable highquality work across complex task types Core Responsibilities Building data engineering pipelines that generate transform and validate enterprisequality datasets powering our RL environments Creating and curating high quality evaluation datasets used to benchmark and train frontier AI models Building QA and datavalidation tooling to keep dataset quality high at scale Working with environment engineers to seed realistic data into simulated B2B and B2C application workflows Must haves Available for a 6month internship extendable up to 12 months inoffice Available for working 6 Days per week Monday to Saturday Prior experience in Python and databases SQL exposure to data pipelines Pandas ETL tooling is a robust plus Strong hold on data structures algorithms and software design principles High agility curiosity and ownership