Shape the product intelligence behind next-generation ecommerce. As an AI Data Analyst at Velou, you’ll work with in-house LLM models, taxonomies, and enrichment workflows to turn raw product data into smarter search, recommendations, and AI shopping experiences. Type: Full-timeLocation: RemoteEligibility: Current students (second year and above) and recent graduates. About VelouVelou is a Silicon Valley AI technology startup building the product-data infrastructure behind the next generation of ecommerce. We turn raw catalogs into rich attributes and product copy and power smart discoverability, search, recommendations, and AI shopping agents customers buy through. Role OverviewAs an AI Data Analyst, you'll take ownership of a genuine slice of the enrichment engine that powers Velou's products. You'll work directly with our in-house LLM models and shape the taxonomies and product intelligence. Key Responsibilities- Support our AI-driven enrichment workflows and help build the taxonomy and product-intelligence structures behind them—the categories, attributes, and relationships that make a catalog discoverable.- Bring cultural and brand context to product data enrichment—reading the intent behind how customers shop, what a brand stands for, and who buys it, then translating that into how products are surfaced.- Work hands-on with our in-house LLM models and AI tooling by helping fine-tune them and shaping how they behave.- Test and evaluate model outputs: assess enriched data for accuracy and comprehensiveness, and work with cross-functional teams to improve quality.- Turn client needs and business goals into concrete enrichment requirements.- Document edge cases and contribute to clearer guidelines and standards. RequirementsTwo things matter most:- Strong cultural fluency.- Strong fluency in English (written and spoken).Additional qualifications:- A student from a creative or commercial field (fashion, design, marketing, media, or communications). Strong applicants from other backgrounds are welcome.- An analytical mind that prefers judgment over box-ticking; you see patterns, reason clearly about structure, and can justify decisions.- Rigorous about data quality, structure, and reproducibility; you test assumptions rather than trust them.- Active interest in consumer culture and retail trends, especially US consumer culture; awareness of how consumer behavior differs across markets.- Hands-on experience with AI-assisted workflows or tools, with some exposure to prompt engineering.- Comfortable in a fast-paced, evolving environment.- Proficiency with data analysis tools and spreadsheets; basic LLM literacy is a plus. Benefits- A funded Prompt Engineering course certification as part of onboarding, plus in-house training on LLM workflows, fine-tuning, and AI-assisted tooling.- A collaborative, forward-thinking environment alongside experienced data analysts and engineers.- Competitive compensation and real room for professional growth and development. How to ApplySend your CV plus one work sample to careers@velou.com. Choose one of the following:Option A — A written piece (500–900 words): a review, analysis, or reflection where your reasoning is on display.Option B — An artifact you’re proud of: research, a brand or campaign breakdown, writing, a design or creative project, a prototype, a coursework piece, etc. Include a framing summary. For large files, use a download link. Please name your submissions: Firstname_Lastname_AIDA_CV and Firstname_Lastname_AIDA_Application.