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Steven J.

Steven J.

AI Data Annotation Specialist (Remote)

USA flagBell Gardens, Usa

Key Skills

Software

CVATCVAT
LabelboxLabelbox
LabelImgLabelImg

Top Subject Matter

Computer vision / action recognition video dataset preparation
Financial data analytics / predictive modeling dataset preparation

Top Data Types

VideoVideo
ImageImage

Top Task Types

Action RecognitionAction Recognition

Freelancer Overview

AI Data Annotation Specialist (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and LabelImg. Education includes Doctor of Philosophy, Columbia University (2025) and Master of Science, Johns Hopkins University (2025). AI-training focus includes data types such as Video, Computer Code, and Programming and labeling workflows including Action Recognition, Evaluation, and Rating.

Labeling Experience

Graduate Research Assistant – Financial Markets & Data Analytics

Prepared quantitative research datasets and supported predictive modeling work using Python and statistical techniques. Although primarily research-focused, the role included dataset preparation and quality/validation activities to ensure model-ready inputs. Contributed to research outputs intended for academic and industry audiences. • Conducted quantitative analysis on structured financial datasets • Built predictive models for asset price movements using Python • Assisted in portfolio optimization and risk-adjusted return research • Prepared research papers and reports

2025 - Present
CVAT

AI Data Annotation Specialist (Remote)

CVATCVATVideoVideoAction RecognitionAction Recognition

Annotated and labeled large-scale machine learning and computer vision datasets to support model training and evaluation. Performed frame-by-frame video annotation and object tracking focused on action recognition. Conducted validation steps to maintain label consistency and dataset quality. • Reviewed and validated existing annotations for consistency • Produced video annotations to support action recognition models • Conducted object tracking for relevant video segments • Used quality control workflows to improve dataset reliability

2022 - 2026

Education

J

Johns Hopkins University

Master of Science, Finance

Master of Science
2023 - 2025
U

University of California, Los Angeles (UCLA)

Bachelor of Science, Finance

Bachelor of Science
2020 - 2023

Work History

N

N/A

Graduate Research Assistant – Financial Markets & Data Analytics

Baltimore
2025 - Present
M

Morgan Stanley

Financial Analyst Intern – Investment Strategy

New York
2024 - 2024