Industry Technical / Data Infrastructure Work Arrangement Remote Job Type Full-time Work Schedule Standard business hours with required overlap with US Pacific Time (PST) Locations: LATAM: Mexico City (Mexico), Bogotá (Colombia), São Paulo (Brazil), Buenos Aires (Argentina), Caracas (Venezuela), Honduras (Dominican Republic) Anywhere in LATAM About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. About the Company Our client is a technology-driven company operating at the intersection of data, infrastructure, and machine learning. The company operates in a fast-paced, high-ownership environment where data quality and execution excellence are critical to customer success. Role Overview The Infrastructure Analyst (Data Creation Owner) is responsible for end-to-end ownership of a complex, judgment-driven data creation pipeline built from roadway video and imagery. You will define standards, resolve ambiguous edge cases, and act as the final quality authority for datasets.



This is a highly accountable role that works cross-functionally with Machine Learning and Customer Success teams while leading operational annotation teams. Your Impact You will ensure the delivery of high-quality, customer-ready datasets that directly support machine learning performance and customer outcomes. Your work will reduce ambiguity, improve data consistency, and increase delivery reliability across large-scale infrastructure datasets. You will help scale data operations while maintaining strict quality standards, enabling faster iteration and stronger customer satisfaction. Your ownership will directly influence operational efficiency, data accuracy, and long-term scalability. Core Responsibilities End-to-End Data Ownership – 35% Own the full data creation lifecycle from video pre-processing through tagging, QA, and final delivery. Quality & Standards – 25% Define, document, and continuously refine data c

📌 Data & Reporting Analyst (Azcapotzalco)
🏢 Pearl
📍 Azcapotzalco