Faith Cherotich

Key Skills

Software

Mercor

Remotasks

iMerit

Top Subject Matter

Autonomous vehicle perception

medical imaging

conversational AI

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Data Annotator. Core strengths include Outlier, Mercor, and Remotasks. Education includes Bachelor of Science, University of Eastern Africa (Baraton) (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

AI Data Annotator

ImageBounding Box

As an AI Data Annotator at Outlier, I annotated a large volume of data points for diverse machine learning projects. My focus was on maintaining high consistency, refining guidelines, and ensuring data quality. I implemented new validation workflows and mentored new annotators to maintain standards. • Annotated over 50,000 data points across autonomous vehicle perception, medical imaging, and conversational AI datasets. • Maintained a 95%+ consistency score through rigorous quality checks. • Collaborated with ML engineers to refine annotation guidelines, reducing ambiguity by 40%. • Created new workflows that decreased error rates by 25% and mentored 3 new annotators.

As an AI Data Annotator at Outlier, I annotated a large volume of data points for diverse machine learning projects. My focus was on maintaining high consistency, refining guidelines, and ensuring data quality. I implemented new validation workflows and mentored new annotators to maintain standards. • Annotated over 50,000 data points across autonomous vehicle perception, medical imaging, and conversational AI datasets. • Maintained a 95%+ consistency score through rigorous quality checks. • Collaborated with ML engineers to refine annotation guidelines, reducing ambiguity by 40%. • Created new workflows that decreased error rates by 25% and mentored 3 new annotators.

2025 - 2025

AI Data Annotator

MercorImageClassification

During my role as AI Data Annotator at Mercor, I processed and labeled image and text data for NLP and computer vision models. I contributed to guideline improvement and participated in alignment sessions for annotation standards. I achieved a high accuracy rate on a sentiment analysis project. • Processed over 20,000 image and text annotations. • Achieved 98% accuracy rate on text classification (sentiment analysis) project. • Identified and documented recurring annotation challenges, leading to guideline updates. • Participated in weekly review sessions to solve edge cases and improve standards.

During my role as AI Data Annotator at Mercor, I processed and labeled image and text data for NLP and computer vision models. I contributed to guideline improvement and participated in alignment sessions for annotation standards. I achieved a high accuracy rate on a sentiment analysis project. • Processed over 20,000 image and text annotations. • Achieved 98% accuracy rate on text classification (sentiment analysis) project. • Identified and documented recurring annotation challenges, leading to guideline updates. • Participated in weekly review sessions to solve edge cases and improve standards.

2024 - 2024

AI Data Annotator

RemotasksTextClassification

As an AI Data Annotator at Remotask, I classified text prompts and responses for harmful content and performed image-text alignment annotations. I was recognized as a trusted annotator and excelled in complex annotation tasks. I also focused on developing more efficient annotation workflows without sacrificing quality. • Classified over 5,000 text prompts and responses for harmful content detection. • Performed image-text alignment and bounding box annotations for vision-language model training. • Executed complex relationship and spatial reasoning annotations. • Achieved trusted annotator status within first 3 months and reduced annotation time by 30%.

As an AI Data Annotator at Remotask, I classified text prompts and responses for harmful content and performed image-text alignment annotations. I was recognized as a trusted annotator and excelled in complex annotation tasks. I also focused on developing more efficient annotation workflows without sacrificing quality. • Classified over 5,000 text prompts and responses for harmful content detection. • Performed image-text alignment and bounding box annotations for vision-language model training. • Executed complex relationship and spatial reasoning annotations. • Achieved trusted annotator status within first 3 months and reduced annotation time by 30%.

2023 - 2023

Education

Work History