Ogechi Onyekachi

Key Skills

Software

Appen

Clickworker

Labelbox

Label Studio

Lionbridge

Mercor

Mindrift

OneForma

Remotasks

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Data Collection

Evaluation Rating

Mapping

Object Detection

Prompt Response Writing SFT

Question Answering

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am a data annotation specialist with hands-on experience labeling and evaluating image, text, audio, and video datasets for AI training and machine learning applications. My background includes working with advanced annotation tools like Labelbox and collaborating directly with large language models (LLMs) to ensure high-quality, research-backed outputs. I excel at applying complex guidelines, performing quality assurance, and resolving ambiguous cases, drawing on my strong critical thinking and web research skills. My experience spans computer vision and domains, where I have consistently delivered precise annotations and contributed to the development of generative AI systems. I am adept at working in distributed teams using tools like Slack and Jira, and I am driven to support projects that advance human-AI collaboration.

Labeling Experience

Digital Annotation Specialist – Mercor (via Project Nova)

LabelboxImageBounding Box

As a Digital Annotation Specialist at Mercor (via Project Nova), I annotated a diverse range of datasets, including images, video, audio, and text, to train and evaluate machine learning models. I consistently applied detailed annotation guidelines, focusing on accuracy and resolving edge cases through critical thinking. My work involved conducting quality assurance reviews and collaborating within distributed teams to meet productivity benchmarks. • Performed entity recognition, bounding box annotation, transcription, and visual data labeling. • Managed annotation tasks using Labelbox and tracked workflow in Jira and Trello. • Ensured high accuracy and consistency across all annotated datasets. • Contributed to meeting productivity and quality assurance targets.

As a Digital Annotation Specialist at Mercor (via Project Nova), I annotated a diverse range of datasets, including images, video, audio, and text, to train and evaluate machine learning models. I consistently applied detailed annotation guidelines, focusing on accuracy and resolving edge cases through critical thinking. My work involved conducting quality assurance reviews and collaborating within distributed teams to meet productivity benchmarks. • Performed entity recognition, bounding box annotation, transcription, and visual data labeling. • Managed annotation tasks using Labelbox and tracked workflow in Jira and Trello. • Ensured high accuracy and consistency across all annotated datasets. • Contributed to meeting productivity and quality assurance targets.

2025 - 2026

Education

Work History