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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote - **Company:** MAG 24 LLC - **Location:** New York, NY, United States (Remote available) - **Salary:** $83,200.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Data Systems, Python (Programming Language), Power BI, DataOps, SQL Databases, Tableau (Software), Data Management - **Published:** September 20, 2026 - **Apply:** https://www.careerjet.com/jobad/usddf20efd952b76173cfa7a831d635c79 ## About the Role We are sharing a full-time opportunity for an experienced Human Data Manager with strong expertise in project management, data operations, quality analysis, workflow optimisation, and human-data systems to support advanced AI training and operational initiatives. The role focuses on building reliable data workflows, improving operational performance, analysing datasets, maintaining quality standards, and coordinating cross-functional execution. No prior experience in AI is required., * Demonstrated experience in data analysis, annotation, workflow optimisation, or related operational work * Strong project-management and operational judgement * Familiarity with data operations and process improvement * Strong analytical and problem-solving skills * Ability to interpret data and communicate insights clearly * Excellent written and verbal communication skills * Strong attention to detail and ownership * Comfortable working in a fast-paced, distributed environment * Engineering or technical background with an operational focus is advantageous * Experience with human-data projects is beneficial * Familiarity with Excel, Tableau, Power BI, Python, SQL, or comparable tools is valuable * Experience in data management, AI/ML, or process optimisation is beneficial * No prior AI-training experience is required ## Description Data Operations & Workflow Management * Design and manage workflows for data annotation, collection, processing, review, and analysis * Maintain consistency across high-volume human-data operations * Identify bottlenecks, inefficiencies, and operational risks * Improve workflow scalability, reliability, and handoffs across project stages * Support human-in-the-loop processes used in AI training and evaluation Project Management & Performance * Coordinate projects across operational and analytical workstreams * Track milestones, deliverables, dependencies, blockers, and execution risks * Establish and monitor KPIs across quality, throughput, efficiency, and workflow performance * Translate operational metrics into actionable recommendations * Maintain visibility and accountability across distributed teams Data Analysis & Quality * Analyse datasets to identify trends, anomalies, and improvement opportunities * Review data for accuracy, completeness, and consistency * Investigate recurring quality issues and recommend corrective actions * Develop clear analytical summaries and reporting frameworks * Measure the impact of workflow and process improvements Cross-Functional Collaboration * Collaborate with technical, operational, analytical, and business teams * Align data workflows with broader project objectives * Communicate findings, priorities, and issues clearly * Maintain process documentation and structured operational records * Contribute proactively to problem solving and continuous improvement ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Management in times of Agentic AI - The Human Premium](https://www.wearedevelopers.com/videos/1472-management-in-times-of-agentic-ai-the-human-premium) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)