Elizabeth Okokon Okon

Completed structured human-data tasks for an AI training project according to detailed requirements. Evaluated information carefully and applied project guidelines consistently across assigned tasks while contributing human judgment and feedback to support AI system improvement. Managed multiple assignments independently while maintaining quality and meeting deadlines. Collaborated with distributed teams via Slack and other remote communication tools, demonstrating strong written communication, analytical thinking, organization, and attention to detail in AI-related work.

Reviewed and corrected labeled data to ensure outputs met strict quality and accuracy requirements, achieving a 94%+ quality score. Evaluated annotation quality against project guidelines and identified errors, inconsistencies, and items needing correction. Provided clear, structured written feedback to support team consistency and improve overall output quality. Used independent judgment to confirm whether labeled outputs met project standards, analyzing content carefully to distinguish accurate, relevant, and properly labeled information from incorrect or inconsistent data. Worked independently in a remote environment while meeting productivity targets, quality benchmarks, and project deadlines, adapting quickly to changing instructions.

Processed and validated high-volume data while maintaining 99% accuracy. Promoted to Data Reviewer within two weeks based on accuracy, attention to detail, and ability to identify inconsistencies. Reviewed outputs against established quality standards, identified and corrected errors, and provided feedback to improve consistency and accuracy across records. Analyzed structured information and relationships within genealogy records, including names, dates, locations, and family linkages. Followed detailed procedures while balancing accuracy, productivity, and deadlines, collaborating with remote team members through Google Meet and shared digital tools to resolve issues efficiently.