Benjamin O.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

AI training video annotation quality assurance (hand movements, object interactions, action timing)

AI model training data annotation and quality review

Computer vision training data labeling (object boundaries, keypoints, interactions, action/gesture classification)

Top Data Types

Video

Image

Text

Document

Top Task Types

Action Recognition

Point/Key Point

Transcription

Data Collection

Entity (NER) Classification

Segmentation

Polygon

Freelancer Overview

Video Data Reviewer (Remote) — Atlas Captures (2025–Present). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Bachelor of Education, University of Ibadan (2017). AI-training focus includes data types such as Video and labeling workflows including Action Recognition, Evaluation, and Rating.

Labeling Experience

Video Labeler Expert — Atlas Captures (Dec 2025–Present)

OtherVideoPoint/Key Point

Expert video labeler segmenting and annotating video footage for computer vision AI training datasets. Applies domain-specific taxonomies and annotation schemas to classify actions, gestures, and scene contexts with consistent structured labels. Runs iterative batch quality checks, escalates ambiguous cases, and documents mislabeled frames and edge cases. • Labeled and segmented video frame-by-frame, including object boundaries and keypoints. • Used annotation schemas to classify actions, gestures, and scene contexts consistently. • Conducted iterative quality checks to find mislabeled frames and edge cases. • Escalated ambiguous content to team leads with documented feedback.

2025 - Present

Video Data Reviewer (Remote) — Atlas Captures (2025–Present)

OtherVideoAction Recognition

Video data reviewer performing AI training annotation review and quality assurance for model-generated video labels. Validates action timing boundaries, hand movement usage (left vs right), and caption atomicity to ensure each label represents a single independent action. Flags low-quality, ambiguous, or incomplete annotations for rework following structured review pipelines. • Maintained ~98% accuracy rate while reviewing model-generated annotations. • Assessed start/end alignment of activity segments for correct action timing. • Verified hand movement labels and interaction descriptions for precision. • Ensured rubric compliance for caption atomicity and label completeness.

2025 - Present

Customer Service Specialist & Data Annotation Specialist (Remote) — Hugo Technologies (Nov 2024–2025)

Don't discloseVideo

Data annotation specialist supporting AI model training through video labeling and quality-focused review of annotated content. Reviews outputs for accuracy, identifies inconsistencies, and provides actionable feedback to improve dataset quality and model performance. Complements labeling work with CRM administration and ticket-based customer support workflow management. • Performed data annotation and video labeling under rigorous quality standards. • Reviewed labeled content for accuracy and flagged inconsistencies. • Provided actionable feedback to enhance annotation model performance. • Collaborated with internal teams to escalate and resolve complex issues.

2024 - 2025

Education

Work History