Davies Nwegbe

Key Skills

Software

Appen

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Bounding Box

Classification

Evaluation Rating

Object Detection

Segmentation

Text Generation

Freelancer Overview

I am a detail-oriented AI Data Annotator and Trainer with several years of experience supporting machine learning models through high-quality data labeling, annotation, and evaluation. I have worked remotely with leading platforms such as Outlier, Appen, and TELUS International, where I annotated and reviewed large-scale text, image, and conversational datasets for projects in NLP and computer vision. My expertise includes applying complex annotation guidelines, conducting quality assurance, and collaborating with distributed teams to ensure data consistency, accuracy, and compliance with strict quality standards. I am highly skilled at identifying inconsistencies and edge cases, maintaining productivity targets, and continuously improving AI model performance through precise data handling and thorough analysis.

Labeling Experience

image review

Scale AIImageBounding Box

Ongoing LLM data annotation project involving image labelling, text labelling and response evaluation to improve quality ranking and accuracy. I follow strict guidelines, consistency checks and ensured high quality annotations across diverse prompt types

Ongoing LLM data annotation project involving image labelling, text labelling and response evaluation to improve quality ranking and accuracy. I follow strict guidelines, consistency checks and ensured high quality annotations across diverse prompt types

2024

AI Data Annotator

AppenTextClassification

As an AI Data Annotator at Appen, I performed detailed data labeling for NLP and computer vision projects. I applied complex annotation guidelines to ensure dataset consistency and reliability. I conducted quality assurance checks and offered feedback to improve data standards. • Annotated textual and visual datasets for AI training. • Applied detailed quality and annotation standards. • Conducted data reviews and provided insights. • Worked remotely on various international projects.

As an AI Data Annotator at Appen, I performed detailed data labeling for NLP and computer vision projects. I applied complex annotation guidelines to ensure dataset consistency and reliability. I conducted quality assurance checks and offered feedback to improve data standards. • Annotated textual and visual datasets for AI training. • Applied detailed quality and annotation standards. • Conducted data reviews and provided insights. • Worked remotely on various international projects.

2022

AI Data Annotator/Trainer

TolokaTextEvaluation Rating

In this role, I annotated and reviewed large-scale text, image, and conversational datasets to improve AI model accuracy. I trained and evaluated AI outputs against strict quality, safety, and relevance guidelines. I consistently met productivity targets while maintaining high annotation accuracy. • Labeled and reviewed textual, visual, and conversational data for machine learning. • Ensured compliance with complex annotation guidelines. • Evaluated AI outputs for quality and safety. • Collaborated remotely with a distributed team.

In this role, I annotated and reviewed large-scale text, image, and conversational datasets to improve AI model accuracy. I trained and evaluated AI outputs against strict quality, safety, and relevance guidelines. I consistently met productivity targets while maintaining high annotation accuracy. • Labeled and reviewed textual, visual, and conversational data for machine learning. • Ensured compliance with complex annotation guidelines. • Evaluated AI outputs for quality and safety. • Collaborated remotely with a distributed team.

2020

Education

Work History