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J
James J.

James J.

Data Labeling & Annotation (Training Coursework) - Austin Community College

USA flagAustin, Usa

Key Skills

Software

Other

Top Subject Matter

Trust and Safety Operations
Data Categorization & Annotation Quality
AI Training

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Data Labeling & Annotation (Training Coursework) - Austin Community College. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Science, Austin Community College (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling Analyst III

TextTextClassificationClassification

Served as a Data Labeling Analyst III supporting AI training and trust and safety initiatives through high-accuracy review of sensitive platform data. Performed investigative analysis of suspicious account activity and provided policy feedback to improve machine learning effectiveness. Collaborated across teams to resolve account security issues while maintaining high annotation/label quality standards for model training. • Reviewed and processed sensitive data under strict guidelines for AI training • Investigated suspicious account activities and detected fraud/abuse signals • Applied policy enforcement actions and updated platform policies based on emerging risks • Maintained label quality and supported cross-functional resolution of security incidents

2024 - Present

Business Integrity Analyst

TextTextClassificationClassification

Provided Business Integrity and trust & safety operational support involving investigation, review, and labeling-quality checks that contributed to policy enforcement and AI training workflows. Conducted deep backend data investigations to identify suspicious behavior, impersonation signals, and malicious actors for timely removal. Audited user-generated content for risks such as harassment and hate speech, and documented findings to support decision-making and training resources. • Investigated backend data to detect suspicious activities and malicious actors • Reviewed business accounts for impersonation and brand integrity signals • Audited user-generated content for harassment/hate speech/inappropriate materials • Produced documentation and consolidated guidance to improve onboarding and policy enforcement

2018 - 2024

Data Labeling & Annotation (Training Coursework) - Austin Community College

OtherTextTextClassificationClassification

Completed data labeling and content review training aligned to trust and safety and platform integrity needs. Practiced applying annotation guidelines and performing quality assurance checks for accurate categorization and impersonation detection. Used investigative tools and reporting approaches to support risk mitigation workflows in AI/data labeling contexts. • Data categorization and annotation guidelines compliance • Quality assurance and data accuracy checks • Content review and impersonation detection • Risk mitigation support through investigative analysis

Not specified

Education

A

Austin Community College

Bachelor of Science, Computer Science

Bachelor of Science
2024 - 2025

Work History

0

09/

Data Labeling Analyst III

Location not specified
2024 - Present