Jeremy A.

Key Skills

Software

Don't disclose

Top Subject Matter

Computer vision (vision-based tracking)

Speech recognition / audio labeling

Computer vision dataset annotation

Top Data Types

Video

Audio

Image

Top Task Types

Tracking

Transcription

Segmentation

Freelancer Overview

AI Training Specialist, Freelance AI Data Services (Video annotation & tracking). Core strengths include Don't disclose. Education includes Bachelor of Science, The University of Texas at Dallas (2021) and High School Diploma, Skyline High School (2017). AI-training focus includes data types such as Video, Audio, and Image and labeling workflows including Tracking, Transcription, and Segmentation.

Labeling Experience

AI Training Specialist, Freelance AI Data Services (Video annotation & tracking)

Don't discloseVideoTracking

Performed frame-by-frame video annotation and multi-object tracking for AI model training. Labeled entities with consistent trajectories while maintaining dataset quality for downstream learning workflows. Applied annotation standards to support training for vision-based tracking models. • Multi-object tracking across video frames. • Frame-by-frame object labeling for continuity. • Quality assurance validation to exceed 98% accuracy. • Collaboration to maintain dataset consistency.

2023 - Present

Data Annotation Specialist, Vision AI Solutions

Don't discloseAudioTranscription

Completed audio transcription and speaker identification labeling tasks to support speech-related AI projects. Verified transcription and labeling quality against guidelines to ensure usable outputs for model training. Supported dataset preparation for downstream analysis and training pipelines. • Audio transcription labeling. • Speaker identification labeling. • Annotation quality verification and inconsistency correction. • Preparation support for AI training datasets.

2022 - 2023

AI Data Labeling Associate, Smart Data Technologies

Don't discloseImageSegmentation

Annotated images and video data with segmentation-style labels to support machine learning model training. Produced accurate segmentation masks and related geometric annotations following dataset guidelines. Contributed to dataset preparation efforts for computer vision and deep learning workflows. • Semantic/instance segmentation mask creation. • Geometry-based labeling (polygons/related shapes). • Bounding and cuboid-style labeling support. • Followed strict guidelines to maintain labeling productivity and consistency.

2021 - 2022

Education

Work History