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Odinaka Elekwachi

Odinaka Elekwachi

Nigerian English AI Data Annotator

Nigeria flagLagos, Nigeria
$30.00/hrIntermediateAppenCVATLabelbox

Key Skills

Software

AppenAppen
CVATCVAT
LabelboxLabelbox
ProdigyProdigy
RemotasksRemotasks
SuperAnnotateSuperAnnotate
LionbridgeLionbridge
ClickworkerClickworker

Top Subject Matter

Artificial Intelligence / Conversational AI
National Language Processing (NLP)
Customer Segment Technology

Top Data Types

AudioAudio
TextText
VideoVideo

Top Task Types

TranscriptionTranscription
Question AnsweringQuestion Answering
Text GenerationText Generation
Object DetectionObject Detection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text SummarizationText Summarization

Freelancer Overview

Sales Assistant. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, Nnamdi Azikiwe University (2020).

IntermediateEnglishIgbo

Labeling Experience

Data Annotation Assistant

AudioTranscription
I worked on a team training an AI to understand how Nigerians talk. My job was to listen to short voice notes and type out exactly what was said, including pidgin and local slang that i heard. What i did daily: 1. Listened to about 100 clips per day and wrote them out word for word. 2. Labeled each one as question, complaint, greeting, or random talk 3. Marked clips that had bad network, background noise, or mixed Yoruba/Igbo or English 4. Used the client's rulebook to decide edge cases when someone wasn't clear 5. Sent a small report at the end of each day in Excel showing how many i did and any issues I used different tools including Label box for tagging, Audacity to slow down fast talkers, WhatsApp group for quick questions to the lead.

I worked on a team training an AI to understand how Nigerians talk. My job was to listen to short voice notes and type out exactly what was said, including pidgin and local slang that i heard. What i did daily: 1. Listened to about 100 clips per day and wrote them out word for word. 2. Labeled each one as question, complaint, greeting, or random talk 3. Marked clips that had bad network, background noise, or mixed Yoruba/Igbo or English 4. Used the client's rulebook to decide edge cases when someone wasn't clear 5. Sent a small report at the end of each day in Excel showing how many i did and any issues I used different tools including Label box for tagging, Audacity to slow down fast talkers, WhatsApp group for quick questions to the lead.

2025 - 2026

Education

N

Nnamdi Azikiwe University

Bachelor of Science, Mass Communication

Bachelor of Science
2020

Work History

I

Indomie Nigeria

Sales Assistant

Lagos
2024 - 2024
N

Nnamdi Azikiwe University

Campus Representative

Awka
2023 - 2024