Udoka M.

Key Skills

Software

Appen

Clickworker

Mercor

Micro1

Top Subject Matter

Genealogy and historical records (genealogy data preparation)

Top Data Types

Document

Top Task Types

Entity (NER) Classification

Classification

Object Detection

Text Generation

Transcription

Question Answering

Text Summarization

Freelancer Overview

As a Data Labeling Specialist at Springboard (USA, Remote), I work on FamilySearch.org, where I annotate and organize over 5000 historical records each week with 99% accuracy. My role involves following detailed guidelines, checking for errors, resolving unclear information, and making sure data is accurate before submission. This has given me strong experience in data labeling, quality control, and working efficiently under deadlines. I work remotely with a team, which has helped me become highly disciplined, independent, and detail-oriented. I’m also studying for a B.S. in Applied Business Management at BYU-Idaho, with coursework in Data Analysis and Business Analytics. In addition, I hold a Project Management Certificate from Ensign College, which has strengthened my skills in organization, prioritization, and workflow management. I take pride not just in completing tasks, but in ensuring the quality of the work I deliver.

Labeling Experience

Data Labeling & Annotation Specialist (Remote, USA)

DocumentEntity (NER) Classification

Annotated and indexed 5000+ historical records weekly on FamilySearch.org to support downstream genealogy digital access. Ensured dataset quality by reviewing and validating each record before submission while maintaining a 99% accuracy rate. Applied annotation guidelines to identify inconsistencies, ambiguous entries, and formatting errors that could impact AI/ML training readiness.• Worked with structured labeling standards for genealogy data preparation.• Conducted systematic quality control to flag anomalies and verify consistency.• Collaborated asynchronously with a remote team to resolve edge cases and align on annotation standards.• Hit weekly throughput targets in a fast-paced remote environment.

2026 - 2026

Education

Work History