> Markdown version of [/jobs/ext/4163735-human-data-manager-remote](https://www.wearedevelopers.com/jobs/ext/4163735-human-data-manager-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Human Data Manager - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Management - **Published:** October 18, 2026 - **Apply:** https://www.careerjet.com/jobad/us1f54af057fa96a502ecc6a71c333cd46 ## About the Role * Experience in data analysis, annotation, or workflow optimization. * Understanding of operational processes and efficiency improvement. * Strong analytical, communication, and problem-solving skills. * Ability to work effectively in a fast-paced, collaborative environment. * Excellent attention to detail and data quality management., * Background in engineering, technical operations, or human data projects. * Familiarity with Excel, Tableau, Power BI, Python, or SQL. * Project or internship experience in data management, AI/ML, or process optimization. Regional Hiring: Roles are available across multiple regions. Responsibilities remain consistent, while employment terms may vary by location. ## Description We are seeking a Human Data Manager to oversee data workflows, improve operational efficiency, and ensure high-quality datasets for AI training projects. Key Responsibilities * Manage data annotation, collection, processing, and analysis workflows. * Establish KPIs and monitor operational performance. * Analyze datasets and recommend process improvements. * Collaborate with cross-functional teams to align data strategies with business goals. * Develop reports to track key metrics and workflow performance. * Improve processes, maintain data integrity, and ensure quality standards. * Identify and resolve operational challenges proactively.