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Mercy Aremu

Mercy Aremu

Team Lead (Data Annotation and AI Operations)

NIGERIA flag
Lagos, Nigeria
$10.00/hrExpertAppenAxiom AIData Annotation Tech

Key Skills

Software

AppenAppen
Axiom AI
Data Annotation TechData Annotation Tech
DataloopDataloop
ClickworkerClickworker
Kili TechnologyKili Technology
LabelboxLabelbox
Label StudioLabel Studio
LightTagLightTag
MercorMercor
Micro1
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
SamaSama
Scale AIScale AI
SuperAnnotateSuperAnnotate
SuperviselySupervisely
TolokaToloka
TelusTelus
V7 LabsV7 Labs
Other

Top Subject Matter

AI Model Training Datasets
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

Classification
Bounding Box
Polygon
Segmentation
Object Detection
Text Generation
Question Answering
Text Summarization
Fine Tuning
Red Teaming
Transcription
Evaluation Rating
Data Collection

Freelancer Overview

Team Lead (Data Annotation and AI Operations). Brings 2+ 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 Lagos (2020). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Team Lead (Data Annotation and AI Operations)

ImageClassification
As Team Lead for Data Annotation and AI Operations, I supervised annotation teams focused on labeling and reviewing multimodal datasets. I defined labeling guidelines, established quality benchmarks, and liaised between technical and annotation teams to ensure alignment. The main objective was to deliver accurate datasets for AI training and improve workflow efficiency. • Oversaw the annotation workflow and enforced structured annotation guidelines. • Implemented quality control measures for consistent and reliable annotations. • Facilitated collaboration between stakeholders for optimized project delivery. • Enhanced dataset quality through continuous improvement processes.

As Team Lead for Data Annotation and AI Operations, I supervised annotation teams focused on labeling and reviewing multimodal datasets. I defined labeling guidelines, established quality benchmarks, and liaised between technical and annotation teams to ensure alignment. The main objective was to deliver accurate datasets for AI training and improve workflow efficiency. • Oversaw the annotation workflow and enforced structured annotation guidelines. • Implemented quality control measures for consistent and reliable annotations. • Facilitated collaboration between stakeholders for optimized project delivery. • Enhanced dataset quality through continuous improvement processes.

2023 - Present

Quality Auditor (Data Annotation and AI Operations)

ImageClassification
As a Quality Auditor in Data Annotation and AI Operations, I implemented rigorous quality checks at each annotation stage. I audited datasets for accuracy and completeness before integration into machine learning workflows. My duties also included establishing and maintaining standards for annotation tools and process quality. • Conducted audits on diverse datasets to verify annotation accuracy. • Developed criteria for tool selection and monitored data validation protocols. • Established and maintained label quality standards. • Led training modules focused on clean and reliable data input.

As a Quality Auditor in Data Annotation and AI Operations, I implemented rigorous quality checks at each annotation stage. I audited datasets for accuracy and completeness before integration into machine learning workflows. My duties also included establishing and maintaining standards for annotation tools and process quality. • Conducted audits on diverse datasets to verify annotation accuracy. • Developed criteria for tool selection and monitored data validation protocols. • Established and maintained label quality standards. • Led training modules focused on clean and reliable data input.

2023 - 2023

Data Annotator and Labeller

ImageClassification
As a Data Annotator and Labeller, I labeled and validated diverse datasets to support AI modeling initiatives. I applied predefined guidelines and ensured compliance with data integrity standards. The work enhanced the robustness of machine learning models. • Annotated and validated text, image, and video datasets. • Collaborated with the AI/ML team to refine annotation workflows. • Evaluated and recommended annotation tools for team use. • Upheld best practices for accurate and high-quality data labeling.

As a Data Annotator and Labeller, I labeled and validated diverse datasets to support AI modeling initiatives. I applied predefined guidelines and ensured compliance with data integrity standards. The work enhanced the robustness of machine learning models. • Annotated and validated text, image, and video datasets. • Collaborated with the AI/ML team to refine annotation workflows. • Evaluated and recommended annotation tools for team use. • Upheld best practices for accurate and high-quality data labeling.

2021 - 2023

Project Manager (Data Annotation Tasks)

ImageClassification
I performed dataset annotation to generate high-quality labeled data for AI training purposes in addition to software project management. I followed structured guidelines and maintained stringent data integrity throughout annotation processes. My work enabled effective AI model development across multiple project initiatives. • Labeled text, image, and video data for supervised learning. • Executed data validation for accurate categorization. • Evaluated and documented annotation tools and methodologies. • Maintained adherence to industry best practices and standards.

I performed dataset annotation to generate high-quality labeled data for AI training purposes in addition to software project management. I followed structured guidelines and maintained stringent data integrity throughout annotation processes. My work enabled effective AI model development across multiple project initiatives. • Labeled text, image, and video data for supervised learning. • Executed data validation for accurate categorization. • Evaluated and documented annotation tools and methodologies. • Maintained adherence to industry best practices and standards.

2020 - 2021

Education

U

University of Lagos

Bachelor of Science, Pharmacology

Bachelor of Science
2015 - 2020

Work History

Y

Yadasoft

Project Manager

Lagos
2020 - 2021