Treasure A.

Key Skills

Software

No software listed

Top Subject Matter

Business analytics dataset quality assurance and structured content review

Dataset quality assurance for business analytics

AI evaluation / LLM response quality assurance

Top Data Types

Text

Image

Document

Top Task Types

Transcription

Question Answering

Object Detection

Segmentation

Bounding Box

Text Generation

Text Summarization

Freelancer Overview

Detail-oriented AI data annotation and quality assurance candidate with experience in data cleaning, data validation, structured review, content evaluation, and remote work. Skilled in reviewing information for accuracy, completeness, consistency, relevance, and clarity. Strong fit for TELUS Digital AI Community tasks involving text categorisation, data cleaning, simple AI answer comparisons, guideline-based annotation, and quality review. Academic background in Economics with strengths in analytical reasoning, research, written communication, and careful instruction-following.

Labeling Experience

Prompt-Response Quality Review Exercise (remote) - AI evaluation and rating QA

Text

Reviewed a prompt-response dataset and assessed whether each AI-generated answer should be rated accurate or inaccurate based on evidence. Detected factual errors and corrected over-conservative ratings when answers were broadly accurate. Compiled QA summaries including totals reviewed and rationale/change logs for customer-facing review. • Prompt-response accuracy evaluation with evidence-based rating • Factual error identification and correction of ratings • Adjusted rating decisions based on guideline interpretation • QA documentation with rationale and change logs

2026 - Present

Data Analytics Intern (remote) - data cleaning and validation quality checks

Text

Gathered, cleaned, and reviewed large datasets while applying quality checks to improve reliability and consistency. Identified issues such as missing values, duplicates, inconsistencies, and reporting errors prior to sharing with stakeholders. Produced structured QA outcomes that supported decision readiness. • Data cleaning and validation across 50,000+ records monthly • Error detection for duplicates, missing values, and inconsistencies • Consistency checks and reporting error identification • Structured review prior to stakeholder sharing

2025 - 2025

Data Analyst Intern (remote) - output review and data validation

Text

Reviewed customer-related outputs for accuracy, consistency, completeness, and clarity before presenting insights to business teams. Contributed to guideline-following by checking whether results met expected standards prior to stakeholder consumption. Supported data validation activities through structured review of analyzed datasets. • Quality review of analytical outputs for accuracy and clarity • Consistency and completeness checks before reporting • Evidence-based summarization with recommendations • Remote coordination and structured delivery of findings

2023 - 2023

Education

Work History