Leslie Ann Q.

Key Skills

Software

Other

Top Subject Matter

AI/LLM online content labeling

Web/app data validation and QA (includes data validation tasks)

Top Data Types

Text

Image

Audio

Top Task Types

Bounding Box

Object Detection

Evaluation/Rating

Transcription

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Text Generation

Question Answering

Computer Programming/Coding

Freelancer Overview

AI/LLM Analyst - L2 (data labeling/annotation). Brings professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Manuel S. Enverga University Foundation (2023) and High School Diploma, Manuel S. Enverga University Foundation (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI/LLM Analyst - L2 (data labeling/annotation)

OtherText

Reviewed, analyzed, and accurately labeled online content according to project guidelines to support AI/LLM training workflows. Ensured high accuracy, consistency, and quality across assigned datasets while contributing to dataset improvements. Provided feedback to enhance annotation guidelines, workflow efficiency, and overall process quality. • Performed content review and verification for guideline compliance • Produced precise labels and annotations following project rules • Monitored annotation quality metrics to maintain consistency • Shared improvement feedback to refine labeling processes

2024 - Present

Software QA Tester - Remote (data validation-focused work)

OtherText

Validated large-scale data and performed data discrepancy checks to ensure accuracy and reliability for internal and client use. Executed ad hoc data and web scraping to support validation and testing activities. Conducted comprehensive functional and regression testing with a focus on data validation outcomes. • Performed data validation on large-scale datasets • Identified discrepancies and confirmed high data accuracy • Assisted testing through replication and confirmation of issues • Supported automation of repetitive data tasks for efficiency

2025 - 2026

Education

Work History