Solomon J.

Key Skills

Software

Telus

Appen

Top Subject Matter

AI training data annotation and validation

AI data annotation across multiple projects

Record/data quality management (non-explicit AI labeling)

Top Data Types

Text

Top Task Types

Evaluation/Rating

Object Detection

Question Answering

Text Summarization

Freelancer Overview

AI Trainer / Data Annotator – TELUS Digital Global (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, Appen, and N. Education includes Bachelor of Science, Nasarawa State University, Keffi. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Trainer / Data Annotator – TELUS Digital Global (Remote)

TelusText

Served as an AI Trainer and Data Annotator for TELUS Digital, performing ongoing data labeling and validation to support machine learning outputs. Maintained reported accuracy in the 95–98% range while annotating large volumes weekly. Ensured labeled data met project quality standards and adhered to reviewer guidelines. • Labeled 1,000+ data points weekly • Achieved 95–98% accuracy • Improved data quality and reduced errors by 20% • Met 100% of deadlines

2024 - Present

Office Aide – ECOWAS

Text

Provided data handling support at ECOWAS in a role that involved managing records with reported error reduction outcomes. While the resume does not explicitly state AI labeling, the work focused on managing and improving the correctness of record data. Applied attention to quality during weekly record management to reduce errors. • Managed 500+ records weekly • Reduced errors by 15% • Performed ongoing record/data quality work • Supported data-related operations

2023 - 2024

Remote Data Annotator – Appen (Remote)

AppenText

Worked as a Remote Data Annotator for Appen, completing AI-related annotation tasks across multiple projects. Processed high task volumes weekly while meeting quality expectations indicated by 95%+ quality scores. Followed task instructions and performed validations to ensure labeled outputs were suitable for downstream ML use. • Processed 800+ tasks weekly • Achieved 95%+ quality scores • Worked on multiple AI projects • Performed remote annotation and quality checks

2023 - 2023

Education

Work History