data analyst for digital mapping

TELUS Digital AI Data Solutions operates a global AI Community of more than one million contributors who collect, enhance, train, translate, and localize content to help build better AI models. The project focuses on improving the accuracy and reliability of digital mapping data used by people worldwide.

• Conduct structured quality audits on spatial datasets using mapping platforms, search directories, and GIS-standard evaluation tools;
• Evaluate and cross-reference complex business, geographic, and cultural data entries against multiple authoritative sources;
• Perform root-cause analysis when spatial data points conflict across sources and document discrepancies with precise reasoning;
• Apply detailed evaluation frameworks consistently across geographic, business, and cultural data variations;
• Work across diverse task types, including Maps, News, Audio tasks, and Relevance;
• Provide structured feedback to refine mapping algorithms and improve geographic intelligence.

• Professional fluency in English and Serbian, including Latin and Cyrillic scripts, with native or near-native proficiency;
• Access to both Cyrillic and Latin keyboards;
• Residency in Serbia for the last 5 consecutive years;
• Advanced analytical thinking and methodical problem-solving ability;
• Deep regional, cultural, and geographic knowledge of Serbia;
• Comfort with rigorous guideline interpretation and consistent framework application;
• Stable internet connection and access to a personal computer;
• Bachelor's degree or equivalent professional experience in analytical, technical, or research disciplines.

• Part-time independent contractor opportunity;
• Fully remote flexibility with the ability to structure the schedule around academic research, consulting, or other professional commitments;
• Compensation is based on completed tasks and project availability; estimated earnings vary according to task volume, quality, and productivity;
• Flexible choice of when and how much to work, subject to project availability and quality requirements;
• Comprehensive onboarding with evaluation guidelines, reference materials, and practical examples;
• Performance assessments tied to quality metrics;
• Dedicated contributor operations support.