Claire W.

Key Skills

Software

Labelbox

Scale AI

Other

Top Subject Matter

E-commerce Product Data & Taxonomy

Autonomous Driving

Healthcare Data & Medical Documentation

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Classification

Transcription

Freelancer Overview

Freelance Data Annotator. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Scale AI, and Other. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Classification, and Transcription.

Labeling Experience

Remote Text Data Annotator

Scale AITextClassification

While freelancing, I annotated over 20,000 text data samples for sentiment analysis and classification tasks in various machine learning initiatives. My responsibilities included text classification, entity recognition, and maintaining data integrity across diverse annotation projects. Leveraging text annotation tools, I ensured each item met strict quality standards for downstream model usage. • Delivered daily production according to volume and accuracy targets • Adapted rapidly to updated project guidelines and taxonomies • Performed sentiment analysis and text classification using scalable tools • Played a key role in supporting multilingual AI development efforts.

2022 - Present

Freelance Data Annotator

LabelboxImageBounding Box

As a freelance data annotator, I labeled over 50,000 images with bounding boxes and segmentation for machine learning projects in retail, autonomous driving, and healthcare. I consistently maintained high accuracy and adhered strictly to evolving annotation guidelines. Using tools like Labelbox, Scale AI, Amazon SageMaker Ground Truth, and CVAT, I delivered projects on time and supported quality assurance improvements. • Processed 200-400 image data items daily for international clients • Managed multiple projects with varied annotation standards • Collaborated with QA teams to refine annotation processes • Contributed to a 12% reduction in computer vision model error rate in retail AI dataset.

2022 - Present

Swahili Speech Data Collection Annotator

OtherAudioTranscription

I transcribed and labeled over 30 hours of Swahili audio for speech recognition model training. This involved accurate transcription, segmentation, and ensuring linguistic consistency across datasets. The high-quality transcriptions supported the development and improvement of AI-driven speech recognition systems. • Used project-specific annotation software for efficient workflow • Ensured high accuracy and adherence to linguistic standards • Worked independently to meet challenging deadlines • Contributed to enhanced performance of speech AI models.

2022 - 2023

Education

Work History