Daniel A.

Key Skills

Software

CVAT

Top Subject Matter

Computer Vision and NLP dataset labeling (AI training data)

First-person video data recording for AI training

Top Data Types

Image

Video

Text

Audio

Top Task Types

Bounding Box

Polygon

Tracking

Entity (NER) Classification

Classification

Prompt + Response Writing (SFT)

Data Collection

Freelancer Overview

Data Annotation Generalist (Remote) — Freelance / AI Training Platforms (2025 – Present). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Data Annotation(AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Polygon, and Tracking)

Labeling Experience

First Person Video Trainer (Remote) — Freelance (2025 – Present)

VideoPrompt + Response Writing (SFT)Data Collection

Recorded and prepared first-person video materials to train AI systems according to detailed project instructions. Ensured captured content met required quality expectations for both video and audio while following consistency requirements across submissions. • Recorded first-person video data for AI training. • Followed project guidelines to maintain labeling/recording consistency. • Ensured high-quality video and audio output. • Produced training-ready recordings for the platform’s data collection needs.

2025 - Present

Data Annotation Generalist (Remote) — Freelance / AI Training Platforms (2025 – Present)

CVATImageBounding BoxPolygon

Performed computer vision and text dataset annotation to support AI model training workflows. Used CVAT to draw bounding boxes and polygons, and to complete tracking annotations across video content. Conducted labeling and dataset review in line with project guidelines, maintaining required consistency and quality targets. • Annotated images and videos with bounding boxes, polygons, and tracking. • Labeled and reviewed text and image datasets for training. • Performed sentiment analysis, intent classification, and entity recognition. • Completed quality assurance checks to ensure dataset accuracy and KPI adherence.

2025 - Present

Education

Work History