Lenox O.

Key Skills

Software

Other

Top Subject Matter

Precision image validation

object recognition

agricultural domain data support

Top Data Types

Image

Text

Video

Top Task Types

Object Detection

Classification

Segmentation

Freelancer Overview

Data Annotator | Atlas Capture (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Education (Science), University of Nairobi (2027). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection and Classification.

Labeling Experience

Lead Project Developer | CricketFlow Agri-Protein (Feb 2026 – Present)

OtherTextClassification

Conducted domain-specific research and data-driven analysis to support a climate-smart agricultural initiative and its AI-readiness requirements. Produced business and operational frameworks that translate technical findings into structured inputs for downstream AI/model training use. Ensured technical data quality aligned with professional standards for sustainability-focused protein sourcing.• Compiled and structured technical documentation from research into usable formats.• Supported classification/organization of domain concepts for project knowledge bases.• Applied data-driven reasoning to inform resource allocation and scalability decisions.• Authored frameworks that guide how labeled/organized data should be used.

2026 - Present

Data Annotator | Atlas Capture (Remote)

OtherImageObject Detection

Provided image validation and object recognition annotations for large-scale datasets with a focus on precision and guideline adherence. Maintained high-quality accuracy metrics while applying classification rules to support robust AI model development. Ensured data integrity through consistent review cycles aligned with strict project deadlines.• Performed object labeling consistent with bounding box style requirements.• Validated visual concepts and image attributes against reference guidelines.• Tracked and corrected labeling errors to maintain low error rates.• Completed labeling work at high throughput to meet delivery schedules.

2026 - Present

Education

Work History