Adedayo A.

Key Skills

Software

Other

Labelbox

Label Studio

Internal/Proprietary Tooling

Top Subject Matter

Financial operations datasets and ML training data

Multi-modal (image) training datasets for ML

Multi-modal (audio) training datasets for ML

Top Data Types

Text

Image

Audio

Document

Top Task Types

Classification

Prompt + Response Writing (SFT)

Object Detection

Point/Key Point

Question Answering

Transcription

Data Collection

Computer Programming/Coding

Segmentation

Entity (NER) Classification

Freelancer Overview

Data Annotator & AI Automation Specialist (Atlas Capture & Independent Consultant). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor’s Degree in Accounting, National Open University of Nigeria (2019) and National Diploma in Accounting, Lagos State Polytechnic (2013). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER), Classification, and Prompt + Response Writing (SFT).

Labeling Experience

Data Annotator & AI Automation Specialist (Atlas Capture & Independent Consultant)

OtherAudioClassification

Labeled audio data to contribute to the training sets used for high-accuracy machine learning models. Carried out quality audits on labels to ensure training set integrity and reduce algorithmic bias. Helped maintain consistent labeling outputs to support reliable model learning.• Annotated audio inputs for ML training data.• Performed quality audits to ensure label consistency.• Reduced labeling errors through review and correction loops.• Supported high-fidelity dataset preparation for model development.

2025 - Present

Data Annotator & AI Automation Specialist (Atlas Capture & Independent Consultant)

OtherImageClassification

Annotated image data as part of multi-modal dataset creation for training high-accuracy machine learning models. Applied quality audits on image labels to eliminate bias and protect training set integrity. Coordinated annotation work to feed consistent labels into ML model development pipelines.• Labeled image data for machine learning model training.• Validated annotation quality through structured audits.• Checked for and corrected inconsistencies in labeled outputs.• Maintained dataset integrity for higher model accuracy.

2025 - Present

Data Annotator & AI Automation Specialist (Atlas Capture & Independent Consultant)

VideoPrompt + Response Writing (SFT)

Applied LLM capabilities to enhance technical prompt quality for improved AI outputs. Transformed basic inputs into higher-performing creative assets through prompt engineering. Supported downstream AI workflow effectiveness by iterating on prompt structure and wording. • Engineered prompts to improve response quality for technical tasks. • Refined prompt inputs to increase usefulness and accuracy. • Developed prompt variants to better match intended outcomes. • Improved AI automation performance through prompt optimization.

2021 - Present

Data Annotator & AI Automation Specialist (Atlas Capture & Independent Consultant)

OtherVideoData Collection

Performed high-fidelity data annotation on raw text datasets to support training of machine learning models. Conducted quality audits on labels to remove algorithmic bias and ensure the resulting dataset remained reliable. Supported iterative improvements to labeling outputs to strengthen downstream model performance.• Labeled and categorized raw text inputs for ML training.• Performed quality checks and bias elimination on label outputs.• Refined labeling guidelines based on audit findings.• Enabled higher accuracy by ensuring dataset integrity.

2021 - Present

Education

Work History