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 creation and annotation standards.



Build and maintain QA frameworks that ensure repeatable, high-quality output.

Identify recurring quality issues and implement corrective processes. Team Leadership – 20% Lead and manage annotation and review teams to meet quality and delivery targets. Set performance benchmarks and provide clear feedback to maintain consistency.

Scale output while preserving quality standards. Cross-Functional Collaboration – 10% Partner closely with Machine Learning teams to align datasets with real-world requirements. Must-Haves (Required) 4+ years of experience owning or operating complex, judgment-driven data or content pipelines.

Proven accountability for both data quality and delivery timelines. Strong project management, prioritization, and execution skills.

Experience collaborating closely with Machine Learning engineers and technical stakeholders. Excellent written and verbal English communication skills. Nice-to-Haves (Preferred) Google Workspace Spreadsheet tools (Google Sheets or Excel) Project management tools Tools Proficiency Must-Haves (Required) Google Workspace Spreadsheet tools (Google Sheets or Excel) Project management tools Nice-to-Haves (Preferred) Annotation or labeling platforms Data QA or review tools Workflow automation tools Competitive Salary: Based on experience and skills Remote Work: Fully remote—work from anywhere Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting Generous PTO: In accordance with company policy Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees Direct Mentorship: Guidance from international industry experts Learning & Development: Ongoing access to resources for professional growth Integral Networking: Connect with professionals worldwide Our Recruitment Process Application Screening Skills Assessment Top-grading Interview Client Interview Job Offer Client Onboarding Ready to Join Us?

If this role aligns with your skills and goals, apply now to take the next step in your journey with Pearl.

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