Tkeyiah T.

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

Machine Learning Data Operations

Spatial and Visual Data Quality for Machine Learning

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Bounding Box

Freelancer Overview

Data Annotation Specialist. Core strengths include CVAT and QGIS. Education includes Bachelor of Science, University of California. AI-training focus includes data types such as Image and labeling workflows including Classification and Bounding Box.

Labeling Experience

Senior Software Engineer — Agentic Coding (AI Training) | Turing | Remote (Hourly Contract)

Designed and evaluated agentic coding workflows by assessing AI-generated code outputs against production-quality criteria. Performed structured evaluation of correctness, efficiency, security, and adherence to software engineering best practices using rubrics and testing harnesses. Identified failure modes and edge cases in autonomous coding behavior to inform iterative model improvement. • Developed evaluation frameworks and rubrics for agentic system performance. • Stress-tested autonomous coding across diverse languages, architectures, and problem types. • Provided expert feedback on reasoning chains, tool usage, and output quality. • Documented breakdowns to support researcher and engineering iteration cycles.

2015 - Present

Data Annotation Specialist | TechData Solutions | Remote, United States

CVATVideoClassification

Reviewed and verified annotated image and video datasets to ensure labels followed annotation guidelines. Conducted detailed quality assurance checks to identify, correct, and prevent labeling errors. Partnered with machine learning engineers and annotation teams to maintain dataset readiness for model training and delivery. • Performed QA on annotated image and video datasets. • Used CVAT and Labelbox for label validation and error correction. • Provided structured feedback to improve annotation quality and reduce mistakes. • Tracked quality metrics and reported issues to operations and supervisors.

2020 - 2024

Data Quality Analyst (Annotation Support) | Vision AI Data Services | Remote, United States

Bounding Box

Performed quality checks on annotated datasets across bounding boxes, segmentation, and classification tasks. Used visual annotation and spatial review tooling to validate spatial and visual data integrity against QA standards. Flagged incorrect or incomplete annotations and supported teams with resolutions and workflow improvements. • Conducted QA checks for bounding boxes, segmentation, and classification labels. • Reviewed and validated spatial/visual data using QGIS. • Flagged labeling issues and coordinated corrections with annotation teams. • Maintained organized records of QA reviews and feedback.

2014 - 2022

Education

Work History