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Faith Lucky

Faith Lucky

Data Annotator - AI and Geology

NIGERIA flag
Ayetoro-Itele, Nigeria
$8.00/hrIntermediateMindriftInternal Proprietary Tooling

Key Skills

Software

MindriftMindrift
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Audio Recording
Classification
Entity Ner Classification
Evaluation Rating
Object Detection
Prompt Response Writing SFT
Question Answering
Text Generation

Freelancer Overview

I am a detail-oriented data annotator and reviewer with hands-on experience labeling and categorizing diverse datasets, including text, audio, and images for AI model training. My background in data science and geology, combined with my proficiency in tools such as SRT, ELM, and parimango, enables me to deliver high-accuracy outputs and maintain rigorous quality standards. I have consistently achieved 100% accuracy in data annotation and quality assessments, and have been promoted to reviewer roles for my reliability and attention to detail. I am skilled in Python and adept at translating complex project guidelines into efficient workflows, collaborating across teams to ensure reliable, high-quality AI training data. My adaptability and commitment to continuous improvement drive my passion for contributing to innovative AI solutions.

IntermediateEnglish

Labeling Experience

Data Annotator (LLM and AI Operations)

Internal Proprietary ToolingTextEntity Ner ClassificationText Generation
As a Data Annotator (LLM and AI Operations) at Hugo Technologies Inc., I was responsible for labeling and categorizing multi-format data including text, audio, and images. I utilized SRT and ELM tools to contribute to robust AI model training processes. My work resulted in a consistent accuracy level of 95% and culminated in a 100% score on the internal AI Operations Quality Auditor assessment. • Labeled diverse data formats for LLM and AI model pipelines. • Employed SRT and ELM platforms for annotation accuracy and consistency. • Maintained high quality standards under production deadlines. • Collaborated with AI Operations team on process improvements.

As a Data Annotator (LLM and AI Operations) at Hugo Technologies Inc., I was responsible for labeling and categorizing multi-format data including text, audio, and images. I utilized SRT and ELM tools to contribute to robust AI model training processes. My work resulted in a consistent accuracy level of 95% and culminated in a 100% score on the internal AI Operations Quality Auditor assessment. • Labeled diverse data formats for LLM and AI model pipelines. • Employed SRT and ELM platforms for annotation accuracy and consistency. • Maintained high quality standards under production deadlines. • Collaborated with AI Operations team on process improvements.

2023

Data Annotator and Reviewer

Internal Proprietary ToolingImageQuestion AnsweringText Generation
At e2f, I worked on large-scale data annotation projects involving text, image, audio, and video data to support AI model training and evaluation. My responsibilities included researching and authenticating information to ensure factual accuracy, annotating and classifying content according to detailed guidelines, grading responses into defined quality categories, and generating responses to questions related to provided images and multimedia content. I consistently maintained a 100% accuracy rate while meeting all annotation requirements and was promoted to reviewer due to the high quality of my work. As a reviewer, I performed quality checks on high-volume datasets, validated peer annotations, and provided detailed, actionable feedback that helped improve annotation consistency and refine project guidelines.

At e2f, I worked on large-scale data annotation projects involving text, image, audio, and video data to support AI model training and evaluation. My responsibilities included researching and authenticating information to ensure factual accuracy, annotating and classifying content according to detailed guidelines, grading responses into defined quality categories, and generating responses to questions related to provided images and multimedia content. I consistently maintained a 100% accuracy rate while meeting all annotation requirements and was promoted to reviewer due to the high quality of my work. As a reviewer, I performed quality checks on high-volume datasets, validated peer annotations, and provided detailed, actionable feedback that helped improve annotation consistency and refine project guidelines.

2024 - 2025

Education

U

University of Ibadan

Master of Science, Petroleum Geology / Sedimentology

Master of Science
2021 - 2023
D

Delta State University, Abraka

Bachelor of Science, Geology

Bachelor of Science
2014 - 2018

Work History

C

Chuma Technical Services

Virtual Administrative Assistant

Lagos State
2018 - 2023
B

BENPEL Construction Ltd.

Geology Intern

Ajah
2017 - 2017