For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
A
Alexis Chukwu

Alexis Chukwu

AI Data Annotation & Evaluation Support (Assistant Chief Data Analyst, FAAN)

Nigeria flagLagos, Nigeria
$20.00/hrIntermediateAws SagemakerAxiom AI

Key Skills

Software

AWS SageMakerAWS SageMaker
Axiom AI

Top Subject Matter

Airport operations
operational/logs data
AI/ML workflow support

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Data Annotation & Evaluation Support (Assistant Chief Data Analyst, FAAN). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Jos (2011) and Master of Science, University of Edinburgh (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

IntermediateEnglish

Labeling Experience

AI Data Annotation & Evaluation Support (Assistant Chief Data Analyst, FAAN)

Text
I utilized AI tools, including large language models, to support the structuring, refinement, and validation of operational data. I regularly reviewed outputs from AI-assisted systems, corrected inconsistencies, and provided actionable feedback to improve AI model accuracy. My hands-on annotation work was vital for internal system development and workflow optimization. • Consistently validated and improved labeled text and operational data outputs • Applied contextual judgment to ensure labeling decisions accurately reflected operational realities • Supported the design and practical deployment of AI-assisted data workflows • Maintained high standards of data quality and annotation accuracy throughout ongoing projects

I utilized AI tools, including large language models, to support the structuring, refinement, and validation of operational data. I regularly reviewed outputs from AI-assisted systems, corrected inconsistencies, and provided actionable feedback to improve AI model accuracy. My hands-on annotation work was vital for internal system development and workflow optimization. • Consistently validated and improved labeled text and operational data outputs • Applied contextual judgment to ensure labeling decisions accurately reflected operational realities • Supported the design and practical deployment of AI-assisted data workflows • Maintained high standards of data quality and annotation accuracy throughout ongoing projects

2017 - Present

Education

U

Ubiqum Code Academy

Diploma, Data Analysis

Diploma
2019 - 2019
U

University of Edinburgh

Master of Science, Computer Science

Master of Science
2017 - 2018

Work History

F

Federal Airport Authority of Nigeria

Assistant Chief Data Analyst

Lagos
2017 - Present
N

National Identity Management Commission

System Analyst

Enugu
2013 - 2017