Mathew W.

Key Skills

Software

Label Studio

CVAT

Other

Top Subject Matter

Natural Language Processing (sentiment analysis, entity tagging, content classification/moderation)

Computer Vision (segmentation, bounding boxes, object labeling)

AI coding evaluation and dataset quality assurance for programming tasks

Top Data Types

Text

Image

Audio

Top Task Types

Entity (NER) Classification

Segmentation

Audio Recording

Freelancer Overview

Senior AI Training Specialist & Data Annotator (Freelance/Remote) — NLP/Text labeling. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, CVAT, and Other. Education includes Bachelor of Science, Kenyatta University (2022). AI-training focus includes data types such as Text, Image, and Computer Code and labeling workflows including Entity (NER) Classification, Segmentation, and Evaluation.

Labeling Experience

Senior AI Training Specialist & Data Annotator (Freelance/Remote) — Audio recording evaluation

OtherAudioAudio Recording

Performed audio recording evaluation tasks to support dataset quality for audio-related AI workflows. Checked audio quality characteristics against labeling instructions and acceptance criteria. Ensured consistency of evaluations to maintain reliable training data for modeling. • Validated audio recordings according to project guidelines. • Assessed quality attributes for dataset inclusion. • Used consistent criteria to reduce evaluation variability. • Contributed to feedback loops for dataset refinement.

2021 - Present

Senior AI Training Specialist & Data Annotator (Freelance/Remote) — Coding evaluation

Other

Evaluated programming outputs to improve AI-generated coding accuracy and reliability. Assessed responses against expected behavior and coding requirements as part of iterative AI training. Used structured guidelines to measure quality and consistency across coding-related samples. • Reviewed AI-produced code for correctness and expected functionality. • Applied rubric-based evaluation to rate outputs. • Reported issues to refine training data quality. • Ensured compliance with project constraints for coding tasks.

2021 - Present

Senior AI Training Specialist & Data Annotator (Freelance/Remote) — Image annotation

CVATImageSegmentation

Completed image annotation work for computer vision models, including segmentation and object labeling. Produced bounding boxes and labeling outputs aligned with task requirements and dataset schemas. Supported model improvement by ensuring labeled images meet quality standards during preparation and review. • Annotated images using segmentation masks/regions where required. • Labeled objects with bounding boxes for detection datasets. • Ensured object labeling consistency with guidelines. • Participated in review cycles to validate dataset quality.

2021 - Present

Senior AI Training Specialist & Data Annotator (Freelance/Remote) — NLP/Text labeling

Label StudioTextEntity (NER) Classification

Provided dataset annotation for NLP tasks including sentiment analysis and entity recognition in line with project guidelines. Performed content categorization and moderation labeling for text datasets to support downstream machine learning models. Conducted annotation reviews to maintain accuracy and consistency across labeling batches. • Labeled entities and related text spans for NER workflows. • Applied sentiment and content category labels during dataset preparation. • Followed labeling rules and quality checks specified by clients. • Reviewed and corrected annotations to reduce labeling variance.

2021 - Present

Education

Work History