Josiah Olaniyan

Key Skills

Software

Labelbox

CVAT

Remotasks

Top Subject Matter

Business Data Quality and Analysis

Visual and Web Design Data

AI Training Data and Technical Projects

Top Data Types

Text

Image

Top Task Types

Segmentation

RLHF

Freelancer Overview

Data Specialist / Quality Assurance (QA) | CAPIPAR Company. Brings years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Remotasks. Education includes Diploma in Computing and Information Technology, University of Dar Es Salaam (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

Technical Project Lead | Personal Projects & Freelance

RemotasksTextRLHF

Designed, structured, and validated training datasets to support RLHF-based AI model training. Transformed unstructured text data into high-quality, relational formats leveraging expertise in SQL and technical logic. Focused on developing patterns and identifying challenging edge cases crucial for AI learning efficacy. • Converted and cleaned diverse raw datasets for RLHF modeling. • Applied expert text structuring for optimal training outcomes. • Identified and annotated subtle edge cases for RLHF scenarios. • Maintained high standard in text annotation and dataset integrity.

Designed, structured, and validated training datasets to support RLHF-based AI model training. Transformed unstructured text data into high-quality, relational formats leveraging expertise in SQL and technical logic. Focused on developing patterns and identifying challenging edge cases crucial for AI learning efficacy. • Converted and cleaned diverse raw datasets for RLHF modeling. • Applied expert text structuring for optimal training outcomes. • Identified and annotated subtle edge cases for RLHF scenarios. • Maintained high standard in text annotation and dataset integrity.

2020 - Present

Data Specialist / Quality Assurance (QA) | CAPIPAR Company

LabelboxText

Oversaw comprehensive ground truth validation and data integrity verification for large-scale corporate datasets. Consistently ensured 99.5% data accuracy for deliverables spanning multiple projects aimed at business analysis and ML training. Implemented deep auditing with advanced SQL and taxonomy-based categorization to enhance training data quality. • Led data validation to support machine learning pipelines. • Developed project-specific taxonomies for accurate data classification. • Utilized advanced SQL querying for complex auditing tasks. • Maintained consistent data quality exceeding industry benchmarks.

Oversaw comprehensive ground truth validation and data integrity verification for large-scale corporate datasets. Consistently ensured 99.5% data accuracy for deliverables spanning multiple projects aimed at business analysis and ML training. Implemented deep auditing with advanced SQL and taxonomy-based categorization to enhance training data quality. • Led data validation to support machine learning pipelines. • Developed project-specific taxonomies for accurate data classification. • Utilized advanced SQL querying for complex auditing tasks. • Maintained consistent data quality exceeding industry benchmarks.

2022 - 2024

Technical Web & Visual Designer | Tanzanite Coffee

CVATImageSegmentation

Curated and annotated high-resolution visual content focusing on pixel-level semantic segmentation for technical and marketing assets. Applied rigorous logical testing and visual auditing methods directly supporting AI-ready datasets. Ensured consistent high-precision image annotation for optimal model training. • Developed detailed semantic segmentation masks on UI components. • Applied precision validation processes for visual data quality. • Enhanced data labeling for consistency and modeling needs. • Coordinated annotation workflows for technical projects.

Curated and annotated high-resolution visual content focusing on pixel-level semantic segmentation for technical and marketing assets. Applied rigorous logical testing and visual auditing methods directly supporting AI-ready datasets. Ensured consistent high-precision image annotation for optimal model training. • Developed detailed semantic segmentation masks on UI components. • Applied precision validation processes for visual data quality. • Enhanced data labeling for consistency and modeling needs. • Coordinated annotation workflows for technical projects.

2018 - 2021

Education

Work History