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Nathaniel Nwanze

Nathaniel Nwanze

Data Annotator - Artificial Intelligence

NIGERIA flag
Abuja, Nigeria
$25.00/hrIntermediateCVATOther

Key Skills

Software

CVATCVAT
Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
AudioAudio

Top Label Types

Bounding Box
Polygon
Segmentation
Object Detection
Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented data annotator with hands-on experience in managing and classifying large datasets for AI and machine learning projects. My expertise includes ML data annotation, 2D segmentation, audio segmentation, spatial annotation, and working with Large Language Models (LLMs). I have a proven track record of ensuring high accuracy and efficiency in data labeling, using various digital tools and platforms to optimize workflows. I excel at identifying patterns in data to improve AI performance and have contributed to developing chatbot response standards for better AI interactions. My strong problem-solving skills, adaptability, and technical proficiency enable me to deliver high-quality training data for computer vision and natural language processing applications.

IntermediateEnglish

Labeling Experience

3d Classification and Reconstruction

OtherImageBounding BoxPolygon
This project is a pipe line project that starts from identifying and masking interesting objects to creating a 3d mesh of these masked interesting object, after which they are aligned to the original image and finally the entire object masked in the scene are all aligned back to create a 3d reconstruction of the 2d scene. The project has a head count of about 367 people and some of the quality measure include, drawing an accurate mask around an object, not masking more than one object, selecting the best mesh during mesh section, selecting the mesh with the best colour distribution and aligning the mesh to the original image in both 2d and 3d views while maintaining the gravity alignment, and colinear of objects.

This project is a pipe line project that starts from identifying and masking interesting objects to creating a 3d mesh of these masked interesting object, after which they are aligned to the original image and finally the entire object masked in the scene are all aligned back to create a 3d reconstruction of the 2d scene. The project has a head count of about 367 people and some of the quality measure include, drawing an accurate mask around an object, not masking more than one object, selecting the best mesh during mesh section, selecting the mesh with the best colour distribution and aligning the mesh to the original image in both 2d and 3d views while maintaining the gravity alignment, and colinear of objects.

2024

Audio Segmentation

OtherAudioSegmentation
This project involves the segmentation of noise and silence before the commencement of an actual speech. it was executed by 42 persons and quality measures involves the trimming the audio exactly where the speech starts.

This project involves the segmentation of noise and silence before the commencement of an actual speech. it was executed by 42 persons and quality measures involves the trimming the audio exactly where the speech starts.

2024 - 2024

2D Segmentation

OtherImagePolygonSegmentation
This project involves masking of individual individual tooth in a 2d scan of human dentition. The tooth are identified and masked with distinct colours. There were about 74 personnel staffed for this project during the project windows and the quality measures involved avoiding mask bleeding into the boundary of another tooth, wrongly naming a tooth, and missing mask.

This project involves masking of individual individual tooth in a 2d scan of human dentition. The tooth are identified and masked with distinct colours. There were about 74 personnel staffed for this project during the project windows and the quality measures involved avoiding mask bleeding into the boundary of another tooth, wrongly naming a tooth, and missing mask.

2023 - 2024

Claim Extraction and Verification

OtherTextPrompt Response Writing SFT
This task involves extracting a specific claim from a passage and afterwards verifying all claims extracted against and open source or text provided to know if they are valid claims or not. There where about 976 people in this project and quality measures include extracting an atomic claim, verifying claims against the required resources and citing the verified claims.

This task involves extracting a specific claim from a passage and afterwards verifying all claims extracted against and open source or text provided to know if they are valid claims or not. There where about 976 people in this project and quality measures include extracting an atomic claim, verifying claims against the required resources and citing the verified claims.

2023 - 2023

Education

U

University of Nigeria

Bachelor of Engineering, Agricultural and Bioresources Engineering

Bachelor of Engineering
2014 - 2019

Work History

H

Hugo Technologies

Data Annotator (Agent)

Lagos
2023 - Present
H

Hugo Technologies

Intern

Lagos
2023 - 2023