Presentation
Offered services
Background
Ensure high-quality, accurate, and contextually relevant annotations to support the training and improvement of Large
Language Models (LLMs).
Review, validate, and refine AI-generated responses for grammatical correctness, semantic clarity, and contextual
accuracy.
Conduct audio AI response evaluation, ensuring outputs meet linguistic, tonal, and contextual expectations.
Execute pixel-perfect data extraction and pattern recognition tasks with a strong focus on precision and consistency.
Perform image-based tasks such as furniture removal and enhancement while maintaining visual coherence and
realism.
and compliance with advertising policies (e.g., Google Ads guidelines).
Perform content quality analysis to ensure ads meet user intent, brand standards, and policy requirements.
Monitor and manage assigned tasks end-to-end, ensuring adherence to turnaround time (TAT), utilization targets, and
accuracy metrics.
Identify and flag policy violations, misleading content, and inconsistencies in ad creatives and landing pages.
Maintain detailed documentation of daily activities, error logs, and quality reports to support performance tracking and
audits
community standards, while accurately classifying materials into appropriate categories and queues such as Ads
Content (OFLP), Product Reviews, and other relevant segments
Proficient in Microsoft Excel and Google Docs, with expertise in Pivot Tables for organizing and analyzing
moderation-related data.
Maintained and updated content moderation trackers in Excel, performed root cause analysis (RCA), and contributed
to calibration sessions for maintaining consistency in moderation standards.
Raised meaningful, data-driven insights based on content trends and escalated potential risks or violations to clients
when necessary.
Designed and maintained real-time dashboards to monitor moderation performance metrics and identify areas for
quality improvement.

