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Doyinmola Ajiboye

Doyinmola Ajiboye

AI/ML Data Annotator

Nigeria flagLagos, Nigeria
$10.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

General/Computer Vision
Natural Language Processing (NLP) & Text
Multimodal AI

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
Text GenerationText Generation
Red TeamingRed Teaming
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I have hands-on experience in AI training data and annotation, with a strong focus on producing high-quality, detail-oriented datasets across multiple domains. My work spans image segmentation, where I precisely masked individual elements such as outfits, as well as bounding box annotation for object detection tasks, including assessing visibility and occlusion in complex scenes. I’ve also contributed to multimodal classification, sentiment analysis, video product detection, facial landmark annotation, and Large Language Model (LLM) data tasks. I am proficient with annotation tools such as Dataloop, SRT, Parimango, mindrift, Toloka, etc., which I’ve used to ensure accuracy, consistency, and efficiency across large-scale datasets. What sets me apart is my ability to combine technical precision with contextual understanding. With a background in Mechanical Engineering and English Education, I bring both analytical thinking and strong communication skills to annotation tasks, enabling me to interpret guidelines clearly and maintain consistency across projects. My experience working on diverse AI models—including LLMs and facial landmark projects—has strengthened my adaptability and attention to detail, which are essential for building reliable, real-world AI systems.

ExpertEnglishYoruba

Labeling Experience

Data Quality Reviewer/Analyst

Image
In my position as a Data Quality Reviewer/Analyst, I audited annotated data for compliance with defined standards and offered targeted feedback to annotation teams. This role involved developing and implementing audit processes to enhance overall data accuracy. I also conducted root cause analysis on data quality issues and trained annotation staff for continuous quality improvement. • Drove a measurable improvement in data accuracy from 75% to 93% through audits. • Designed and enforced corrective action plans to address recurring annotation errors. • Provided in-depth feedback and training that elevated team performance. • Reduced persistent data quality issues by 35% across audit cycles.

In my position as a Data Quality Reviewer/Analyst, I audited annotated data for compliance with defined standards and offered targeted feedback to annotation teams. This role involved developing and implementing audit processes to enhance overall data accuracy. I also conducted root cause analysis on data quality issues and trained annotation staff for continuous quality improvement. • Drove a measurable improvement in data accuracy from 75% to 93% through audits. • Designed and enforced corrective action plans to address recurring annotation errors. • Provided in-depth feedback and training that elevated team performance. • Reduced persistent data quality issues by 35% across audit cycles.

2023 - Present

AI/ML Data Annotator

ImageClassification
As an AI/ML Data Annotator at Hugo Technologies, I annotated and labeled image and video data to train and improve machine learning models. I was responsible for attaching metadata and markups to datasets while following strict quality guidelines. During this role, I also collaborated with annotation teams to maintain data integrity and output consistency. • Consistently met accuracy targets established by project leads. • Used proprietary annotation tools to classify and tag image and video data. • Supported cross-functional teams by clarifying dataset requirements. • Participated in regular quality assessments and retraining sessions.

As an AI/ML Data Annotator at Hugo Technologies, I annotated and labeled image and video data to train and improve machine learning models. I was responsible for attaching metadata and markups to datasets while following strict quality guidelines. During this role, I also collaborated with annotation teams to maintain data integrity and output consistency. • Consistently met accuracy targets established by project leads. • Used proprietary annotation tools to classify and tag image and video data. • Supported cross-functional teams by clarifying dataset requirements. • Participated in regular quality assessments and retraining sessions.

2021 - 2023

Education

F

Federal University of Technology

Bachelor of Engineering, Mechanical Engineering

Bachelor of Engineering
2014 - 2017
F

Federal College of Fisheries and Marine Technology

National Diploma, Marine Engineering

National Diploma
2009 - 2012

Work History

U

Utiva

Data Associate

Lagos
2019 - 2020