Jaguy A.

Key Skills

Software

Micro1

Telus

Top Subject Matter

AI-generated content evaluation and fact-checking

LLM response evaluation

rubric scoring

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Computer Programming/Coding

Text Generation

RLHF

Freelancer Overview

AI Evaluation Specialist (Contractor) | micro1 (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, DataAnnotation, and Telus. Education includes Master of Science, Johns Hopkins University (2027) and Bachelor of Science, University of California, Los Angeles (UCLA) (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Image Object Labeler & Visual Concept Verifier (Contractor) | SynapseMind (Remote)

ImageClassification

Review images and label visible content accurately based on predefined guidelines to support visual recognition training. Evaluate visual statements as true, false, or unclear using careful observation and structured judgment. Maintain consistent classification accuracy while applying annotation rules across image evaluation workflows. • Image content labeling per predefined guidelines • Visual statement verification (true/false/unclear) • Careful attention to detail for classification • Consistent application of visual judgment criteria

2026 - Present

Online Data Analyst (Contractor) | TELUS Digital AI Community (Remote)

TelusText

Review and evaluate digital content for maps, news, audio, and relevance tasks using structured evaluation criteria. Assess factual accuracy, credibility, and information quality while providing consistent judgments aligned to project rubrics. Conduct online research to verify claims through source cross-referencing and reliability checks across diverse content categories. • Credibility and factual accuracy evaluation • Relevance assessment using structured criteria • Online research and claim verification • Source cross-referencing to determine reliability

2026 - Present

Math & AI Evaluation Specialist (Contractor) | TELUS Digital AI Community (Remote)

TelusText

Evaluate AI-generated mathematical and technical content for factual accuracy, logical consistency, and reasoning quality. Identify specific errors and gaps and provide structured written feedback to support model improvement. Apply detailed project guidelines consistently across high-volume annotation tasks while maintaining reliable quality standards. • Mathematical/technical factuality checks • Logical consistency and reasoning quality assessment • Structured error reporting with written feedback • Consistent guideline application at scale

2026 - Present

AI Data Evaluator (Contractor) | DataAnnotation (Remote)

Text

Review AI-generated text responses for factual correctness, logical reasoning quality, safety, and appropriateness. Compare and rate responses against structured rubrics with consistent evaluation across high volumes of diverse content types. Follow complex evaluation guidelines precisely while adapting to shifting project requirements. • Factuality and logic quality review with explanations • Rubric-based rating and comparison across content types • Safety and appropriateness assessment • Strict guideline compliance across changing tasks

2026 - Present

AI Evaluation Specialist (Contractor) | micro1 (Remote)

Micro1Text

Evaluate AI-generated content across diverse formats for quality, factual accuracy, and overall reliability against structured project guidelines. Identify and flag factually incorrect, misleading, unsafe, or unclear material and provide specific written feedback. Maintain high accuracy and consistency while labeling and classifying AI outputs across extended annotation workflows. • Quality and factuality assessment against guidelines • Safety and clarity flagging with written rationales • Labeling and classification across multiple content types • Consistent judgment during high-volume workflows

2026 - Present

Education

Work History