Victor A.

Key Skills

Software

Don't disclose

Top Subject Matter

Video content for machine learning training

Diagnostic imaging interpretation (radiography)

Top Data Types

Video

Image

Top Task Types

Data Collection

Diagnosis

Freelancer Overview

Video Annotator & Labeller (Atlas Capture, Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Atlas Capture and Don't disclose. Education includes Bachelor of Medical Radiography, University of Nigeria, Nsukka (2024) and Secondary Education, Morning Star Comprehensive College (2018). AI-training focus includes data types such as Video, Medical, and DICOM and labeling workflows including Data Collection and Diagnosis.

Labeling Experience

Medical Radiographer (Orbital Medical Diagnostics, Benin City, Nigeria)

Don't discloseDiagnosis

You performed diagnostic imaging-related interpretation in clinical contexts as part of patient care. You evaluated and interpreted imaging results using radiography domain knowledge to support diagnostic decision-making. While this was primarily clinical, it involved applying structured assessment of medical imaging data. • Operated radiographic equipment to ensure optimal image quality. • Evaluated and interpreted imaging results for diagnostic reporting. • Collaborated with medical teams for accurate and timely reporting. • Used medical terminology and healthcare domain knowledge to guide interpretation.

2025 - Present

Video Annotator & Labeller (Atlas Capture, Remote)

VideoData Collection

You annotated and labeled remote video content to support machine learning model training pipelines. You focused on maintaining high accuracy and consistency across large volumes of video data. You applied clinical attention to detail to deliver precise, reliable annotations for downstream training tasks. • Labeling performed on Atlas Capture (video annotator & labeller). • Ensured consistency and accuracy standards across batches. • Worked independently in a fully remote, output-driven environment. • Produced labeled outputs used for ML model training.

2025 - Present

Education

Work History