Gozmo

Key Skills

Software

iMerit

Top Subject Matter

3D LiDAR

Semantic Annotation

Edge Case Detection

Top Data Types

3D Sensor

Image

Text

Document

Top Task Types

Bounding Box

Polygon

Text Generation

Transcription

Data Collection

Evaluation/Rating

Object Detection

Freelancer Overview

Data Operations Specialist (High-Performer). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit. Education includes Diploma in Mass Communication, Kenya Institute of Mass Communication (2024). AI-training focus includes data types such as 3D Sensor and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Operations Specialist (High-Performer)

Imerit3D Sensor

As a Data Operations Specialist at iMerit Technology / TaskVerse, I executed high-precision data annotation and quality assessments for AI model training. My main responsibilities included maintaining an 84% accuracy rating in complex 3D LiDAR and semantic tasks, as well as identifying and documenting edge cases for model safety and alignment. I regularly worked with both linguistic and visual data in remote workflows optimized specifically for AI content evaluation environments. • Delivered consistent 84% accuracy on Honeypot QA metrics in 3D LiDAR annotation tasks • Evaluated both visual and linguistic edge cases, raising alignment standards • Executed rapid, complex evaluations within a 13-second response window • Utilized iMerit proprietary tools for semantic annotation and alignment checks.

As a Data Operations Specialist at iMerit Technology / TaskVerse, I executed high-precision data annotation and quality assessments for AI model training. My main responsibilities included maintaining an 84% accuracy rating in complex 3D LiDAR and semantic tasks, as well as identifying and documenting edge cases for model safety and alignment. I regularly worked with both linguistic and visual data in remote workflows optimized specifically for AI content evaluation environments. • Delivered consistent 84% accuracy on Honeypot QA metrics in 3D LiDAR annotation tasks • Evaluated both visual and linguistic edge cases, raising alignment standards • Executed rapid, complex evaluations within a 13-second response window • Utilized iMerit proprietary tools for semantic annotation and alignment checks.

2026 - Present

Education

Work History