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Chinyere Uzoahia

AI Data Trainer & Quality Analyst

Denmark flagN/A, Denmark
$30.00/hrExpertScale AIAppen

Key Skills

Software

Scale AIScale AI
AppenAppen

Top Subject Matter

Large Language Model (LLM) training and evaluation
Transcription and data categorization for diverse businesses
Legal Services & Contract Review

Top Data Types

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DocumentDocument

Top Task Types

TranscriptionTranscription

Freelancer Overview

AI Data Trainer & Quality Analyst. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Appen. Education includes Bachelor of Arts, Arizona State University (2018) and High School Diploma, Central High School (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Transcription.

ExpertEnglish

Labeling Experience

Scale AI

AI Data Trainer & Quality Analyst

Scale AIText
As an AI Data Trainer & Quality Analyst at Scale AI, I labeled and evaluated over 2,500 data points daily to enhance large language models. My work included sentiment analysis, entity recognition, and prompt response scoring for major technology clients. I consistently maintained 99.2% accuracy and ranked in the top 5% of annotators company-wide. • Labeled and evaluated large volumes of text data each day with significant accuracy. • Performed advanced tasks such as sentiment analysis and named entity recognition. • Contributed to reducing model error rates by 35% through high-quality annotations. • Collaborated globally to refine annotation guidelines and onboard team members.

As an AI Data Trainer & Quality Analyst at Scale AI, I labeled and evaluated over 2,500 data points daily to enhance large language models. My work included sentiment analysis, entity recognition, and prompt response scoring for major technology clients. I consistently maintained 99.2% accuracy and ranked in the top 5% of annotators company-wide. • Labeled and evaluated large volumes of text data each day with significant accuracy. • Performed advanced tasks such as sentiment analysis and named entity recognition. • Contributed to reducing model error rates by 35% through high-quality annotations. • Collaborated globally to refine annotation guidelines and onboard team members.

2023 - Present
Appen

Data Entry & Processing Specialist

AppenTextTranscription
As a Data Entry & Processing Specialist working with Amazon Mechanical Turk and Appen, I completed high-volume transcription and categorization projects. My responsibilities included accurately entering and verifying over 1,200 records per shift. I ensured all work met 100% quality standards and deadlines for various clients. • Completed transcription and data categorization projects faster than the team average. • Entered and verified sensitive information into spreadsheets and proprietary systems. • Maintained client NDA and privacy adherence throughout all labeling tasks. • Contributed to significant reductions in data rework and discrepancies.

As a Data Entry & Processing Specialist working with Amazon Mechanical Turk and Appen, I completed high-volume transcription and categorization projects. My responsibilities included accurately entering and verifying over 1,200 records per shift. I ensured all work met 100% quality standards and deadlines for various clients. • Completed transcription and data categorization projects faster than the team average. • Entered and verified sensitive information into spreadsheets and proprietary systems. • Maintained client NDA and privacy adherence throughout all labeling tasks. • Contributed to significant reductions in data rework and discrepancies.

2019 - 2021

Education

A

Arizona State University

Bachelor of Arts, Communication Studies

Bachelor of Arts
2014 - 2018
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Central High School

High School Diploma, General Education

High School Diploma
2010 - 2014

Work History

C

Crowdgen

Senior Customer Service Representative

N/A
2021 - 2022
A

Amazon Mechanical Turk

Data Entry & Processing Specialist

N/A
2019 - 2021