Nick M.

Key Skills

Software

CVAT

Labelbox

Scale AI

Remotasks

Appen

Other

Top Subject Matter

Computer vision datasets for autonomous driving/spatial intelligence

Operational data tracking and performance reporting

Top Data Types

Video

Text

Image

Top Task Types

Tracking

Data Collection

Freelancer Overview

Visual Data Annotation Specialist & Contractor — Remote (Scale AI, Remotasks & Appen Platforms). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Scale AI. Education includes Diploma in Information Communication Technology, Summit Institute of Professional Studies. AI-training focus includes data types such as Video and Text and labeling workflows including Tracking and Data Collection.

Labeling Experience

Data Analyst & Spreadsheet Designer — Nia Nomads Tours & Travel / Freelance

OtherTextData Collection

Built structured Excel workbooks to track operational and logistics data for business workflows. Applied auditing, filtering, and anomaly detection approaches to keep inputs accurate and consistent. Converted tracked datasets into actionable performance indicators for leadership decision-making. • Designed spreadsheet systems for multi-variable target parameter monitoring • Performed structured auditing techniques and data quality checks • Used data filters to detect anomalies and clean raw inputs • Presented operational performance insights to guide strategic scaling

2025 - Present

Visual Data Annotation Specialist & Contractor — Remote (Scale AI, Remotasks & Appen Platforms)

CVATVideoTracking

Delivered high-precision computer vision annotations across large-scale image and video datasets with strong quality outcomes. Performed frame-by-frame labeling with temporal consistency for objects undergoing motion and occlusions. Managed detailed edge-case identification to improve consensus and dataset reliability for downstream ML use. • Labeled dynamic autonomous-driving data using CVAT, Labelbox, and platform-native tooling • Produced pixel-perfect semantic segmentation masks and polygon tracks • Ensured visual continuity via frame-by-frame tracking and interpolation • Maintained an average QA score of 98.5% while processing multi-million frame workloads

2024 - Present

Education

Work History