Stanley M.

Key Skills

Software

Don't disclose

Top Subject Matter

NLP sentiment analysis and named entity recognition

Audio transcription validation for NLP pipelines

Computer vision object detection and segmentation with document OCR

Top Data Types

Text

Audio

Image

Document

Top Task Types

Classification

Transcription

Bounding Box

Text Generation

Freelancer Overview

Data Annotator (Freelance) – Neevo (text and audio annotation for NLP models). Core strengths include Don't disclose. Education includes Bachelor of Science, Kirinyaga University (2025). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Classification, Transcription, and Bounding Box.

Labeling Experience

Data Annotator (Freelance) – Atlas Capture (document OCR & quality control)

Don't discloseDocumentText Generation

Annotated document images by transcribing OCR text to support downstream text processing. Followed labeling rulebooks and updated object taxonomies as datasets and requirements changed. Maintained strong quality scores through internal evaluation and error flagging practices. • Transcribed OCR text from document images • Followed evolving labeling rulebooks • Adapted to new object taxonomies • Maintained internal quality score above 95%

2025 - Present

Data Annotator (Freelance) – Atlas Capture (image/document annotation)

Don't discloseImageBounding Box

Performed image and document annotation for computer vision datasets. Labeled objects using bounding boxes and created polygon segmentation annotations per the project taxonomy. Produced OCR text transcription for document content as part of multimodal dataset preparation. • Applied bounding box annotations for detected objects • Created polygon segmentation for labeled regions • Labeled across multiple project types while maintaining quality • Completed OCR text transcription for documents

2025 - Present

Data Annotator (Freelance) – Neevo (audio transcription & validation)

Don't discloseAudioTranscription

Annotated audio data to support NLP model training and quality workflows. Conducted transcription validation to ensure labeled outputs met project expectations. Managed ambiguous cases by escalating items that could not be resolved within the provided guidelines. • Validated audio-to-text transcriptions • Labeled supporting audio segments as part of training datasets • Ensured consistency with guideline-driven labeling • Escalated ambiguous samples to maintain quality and guideline adherence

2024 - Present

Data Annotator (Freelance) – Neevo (text and audio annotation for NLP models)

Don't discloseTextClassification

Annotated text data for NLP models to support tasks such as sentiment classification and named entity recognition. Followed model and project guidelines while handling edge cases and ambiguous items. Performed transcription validation for text-related outputs as required by the workflow. • Labeled sentiment classes for training data • Applied NER labeling to identify relevant entities • Reviewed edge cases and escalated ambiguous samples • Completed daily throughput targets while passing automated quality checks

2024 - Present

Education

Work History