Yaseen E.

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

AI model training and evaluation for language/decision modeling

Finance/Economics

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Transcription

Object Detection

Evaluation/Rating

Freelancer Overview

AI Training & Data Quality Specialist with hands-on experience in AI model evaluation and performance optimization. As an AI Model Training Contributor at Handshake, I've completed 500+ language and decision modeling tasks while maintaining a 98% quality rating, demonstrating precision, consistency, and attention to detail in complex annotation work. My strength lies in identifying model inconsistencies, edge cases, and performance gaps through rigorous analysis, then translating those findings into actionable feedback that directly improves model accuracy. This experience reflects both the technical understanding of AI outputs and the meticulous quality control essential in training data roles. My analytical foundation, rooted in economics, statistics, and data analysis, complements this hands-on work. I bring structured problem-solving skills (demonstrated through hackathon projects like AutoAdvisor, where I built classification systems and integrated multiple data sources) and the ability to work independently under performance metrics. Combined with proficiency in Python, Excel-based data analysis, and my track record of training and documenting processes (evidenced by onboarding team members at Central Construction), I'm equipped to manage large-scale labeling projects, maintain quality standards, and contribute meaningfully to AI training pipelines.

Labeling Experience

AI Model Training Contributor (Handshake Remote)

OtherText

Contributed 500+ AI training tasks focused on language and decision modeling. Evaluated outputs and maintained a 98% quality rating across assessments. Provided quality feedback to improve response accuracy by identifying inconsistencies and edge cases. • Completed training and evaluation tasks for AI models. • Assessed quality of model responses using an evaluation framework. • Analyzed outputs and flagged edge cases and inconsistency patterns. • Delivered feedback to support iterative model performance improvements.

2025 - Present

Education

Work History