weloglobal - Welo Global - AI Data Quality Control Coordinator

• Bachelor degree in any discipline (Data Science, Computer Science, Linguistics, or related fields preferred). • 2-4 years of experience in Quality Control/Quality Assurance within AI data annotation, data labeling, or content moderation. • Strong understanding of annotation workflows (bounding boxes, segmentation, classification, transcription, etc.). • Familiarity with QA metrics such as accuracy, F1 score, precision/recall, and inter-annotator agreement. • Proficiency in MS Excel/Google Sheets (pivot tables, dashboards, data analysis). • Strong communication and coordination skills across cross-functional teams. • Experience with annotation tools (e.g., Labelbox, CVAT, Scale AI, or similar platforms). • Exposure to NLP, Computer Vision, or Speech datasets. • Basic knowledge of machine learning workflows and data lifecycle. • Experience working with global clients and remote annotation teams • Locaton- Remote  (Europe/America based) • ## Primary Responsibility • Performing sampling and guideline-adherence checks; logging defects with categorization and severity. • Tracking corrective actions to closure; verifying re-tests and documenting outcomes. • Coordinating training sessions and refreshers; managing attendance and quick assessments. • Keeping guidelines, SOPs, and rubrics current and version-controlled; managing release notes. • Preparing client-ready exports (tables, charts) with consistent formatting and footnotes. • Liaising with PMs and Ops to align timelines and inputs for reporting and audits. • Managing access requests and permissions for QA tools and folders. • Supporting vendor coordination (checklists, SLAs, documentation requests). • Identifying minor process gaps and suggesting simple fixes (templates, checklists). • ## Ideal Profile • 2–4 years of experience in Quality Control/Quality Assurance within AI data annotation, data labeling, or content moderation. • Excellent attention to detail and ability to identify subtle quality issues in datasets. • This role offers an exciting opportunity to contribute to cutting-edge AI projects while building expertise in data quality and annotation processes. Join us to play a key role in shaping high-quality datasets that power intelligent systems.