Boluwatife A.

Key Skills

Software

Other

Top Subject Matter

Computer vision for machine learning (video object/spatial annotation)

Industrial safety research data collection and quantitative survey analytics

HSE compliance and operational data/document management (supporting labeled reporting datasets)

Top Data Types

Video

Document

Image

Text

Top Task Types

Object Detection

Classification

Data Collection

Bounding Box

Question Answering

Text Generation

RLHF

Transcription

Freelancer Overview

I currently work as a Data Annotator & Technical Reviewer at Atlas Capture Annotation (November 2025 – Present), where I specialize in high-precision data labeling and annotation for computer vision models. My role involves processing large-scale video datasets, following detailed technical protocols and spatial standards, and identifying object transitions and spatial relationships to support advanced machine learning systems. I consistently maintain high-quality accuracy scores while meeting demanding production targets. I also have experience as an AI Data Trainer/Evaluator at Outlier AI, where I contributed to training large language models (LLMs) through response evaluation, ranking, prompt engineering, and human feedback processes, including RLHF and SFT. This role strengthened my analytical thinking, quality assessment, and AI model optimization skills. In addition, I led an independent industrial safety research project that involved large-scale survey design, data collection from over 300 respondents, and quantitative analysis using IBM SPSS. I also gained practical data optimization experience during my IT Internship at Seven-Up Bottling Company. My key skills include Computer Vision Data Annotation, Video Dataset Processing, LLM Training & Evaluation, Prompt Engineering, Quality Assurance, Python, SQL, Power BI, IBM SPSS, Advanced Excel, Statistical Analysis, and maintaining strong attention to detail in high-precision AI training tasks.

Labeling Experience

IMAGE ANNOTATION ON OUTLIER AI

ImageBounding Box

High Res Dense and Rich Referring expression annotate bounding boxes for rich referring expressions ensuring dense coverage of objects in complex images

2025 - Present

Data Annotator & Technical Reviewer, Atlas Capture Annotation — Lagos, Nigeria (November 2025 – Present)

OtherVideoObject Detection

Executed high-precision data labeling and technical review work for computer vision models, strictly adhering to complex annotation protocols and spatial relationship standards. Processed and reviewed large-scale video datasets while meeting aggressive quota/episode targets to support model training. Improved training accuracy by identifying, categorizing, and annotating object transitions and relevant spatial relationships across video frames. • Labeling and technical review of computer vision video data • Spatial relationship and object transition annotation • Quality assurance to achieve high-quality annotation scores • Meeting high-volume episode/processing targets

2025 - Present

IT Intern, HSE Department, Seven-Up Bottling Company — Abuja, Nigeria

OtherDocumentData Collection

Supported HSE operations by managing and optimizing digital/physical documentation and reporting workflows. Improved safety data management and reporting accuracy through advanced Excel-based processing. Implemented a hybrid document management system to reduce retrieval time and provided administrative support for data-driven reports. • Optimized HSE data management using advanced Excel • Designed and implemented hybrid document management system • Supported generation of data-driven reports and meeting documentation • Ensured timely completion of operational administrative tasks

2024 - 2025

Academic Research Lead & Data Analyst, Independent Research Project — Abuja, Nigeria

DocumentClassification

Led industrial safety and hazard assessment research using structured survey instruments and quantitative analysis workflows. Designed surveys and sampling strategies to collect labeled/structured responses suitable for downstream analytics. Cleaned and analyzed quantitative datasets to translate findings into actionable recommendations for stakeholders. • Designed structured surveys using statistical sampling methods • Prepared and cleaned quantitative data for analysis • Analyzed survey/operational datasets to support safety study outputs • Produced data-driven recommendations for senior stakeholders

2024 - 2025

Education

Work History