Data Annotator
As a Data Annotator at Appens, I was responsible for accurately labeling a high volume of diverse data types, including text, images, and audio, to support global machine learning projects. My work emphasized strict adherence to accuracy standards and involved active collaboration with data scientists for process refinement. I maintained detailed records and contributed to quality assurance initiatives that improved data integrity. • Labeled over 100,000 data points with 99%+ accuracy • Reduced annotation errors by 20% through quality assurance • Optimized review workflows for faster project turnaround • Provided guideline feedback to enhance team efficiency