Samuel A.

Key Skills

Software

Other

Labelbox

Top Subject Matter

Client data quality assurance and spreadsheet-based structured data validation

NLP and conversational AI training data annotation (classification, NER, sentiment)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Freelancer Overview

Quality Assurance & Data Review Assistant (Self-Employed/Consulting). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Labelbox. Education includes Bachelor of Science, Nigerian University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Data Labeling & Annotation Specialist (Freelance/Remote)

LabelboxTextEntity (NER) Classification

Labeled and reviewed 6,000+ samples across text, dialogue, and structured response datasets to support AI model training. Performed multi-class text classification, named entity recognition (NER), and sentiment annotation according to detailed guidelines. Flagged ambiguous or out-of-scope samples to protect dataset integrity while contributing to feedback loops that improved inter-annotator agreement. • Completed high-volume annotation batches across concurrent projects • Achieved per-project accuracy consistently above 96% • Identified recurring labeling inconsistencies and proposed rubric clarifications • Used Labelbox, Scale AI, and Appen to complete labeling workflows

2023 - Present

Quality Assurance & Data Review Assistant (Self-Employed/Consulting)

OtherText

Performed structured data review and verification for client datasets with a documented accuracy rate above 98%. Created and applied internal review checklists to reduce data entry errors and improve output consistency across recurring projects. Communicated data quality findings to non-technical stakeholders with clear, actionable guidance. • Reviewed structured spreadsheet entries for errors and inconsistencies • Generated weekly data quality reports summarizing error trends and corrective actions • Translated issues into steps clients could follow • Ensured compliance with client documentation and quality expectations

2022 - 2023

Education

Work History