Trelaciya H.

Key Skills

Software

Other

Top Subject Matter

LLM output evaluation

prompt/response annotation

and synthetic dataset curation

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Trainer / Data Annotation Specialist (Outlier AI) — Remote. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes High School Diploma, Beaumont United High School. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Trainer / Data Annotation Specialist (Outlier AI) — Remote

OtherText

Reviewed and categorized multi-turn AI responses against strict criteria for grammar, factual integrity, and semantic relevance to support ground-truth dataset quality. Applied edge-case prompt evaluation and produced granular qualitative feedback to optimize large language model performance. Audited structural correctness across dense technical and educational datasets, including context contradictions, hallucination errors, and formatting gaps. • Labeled training metadata and ensured compliance with annotation guidelines • Assessed text hierarchy, presentation design schemas, and visual layout parameters for synthetic dataset creation • Verified syntactic precision, logical gaps, and overall semantic relevance of model outputs • Delivered structured qualitative feedback focused on prompt alignment and dialogue accuracy

2024 - Present

Customer Service Representative (Everise) — Remote

OtherTextClassification

Classified high-volume customer technical issues into structured ticket systems while maintaining accuracy and documentation speed. Translated ambiguous troubleshooting requests into clearly labeled action items and technical reference guides that could be used for downstream resolution. Maintained strict adherence to digital workflow standards and quality expectations for support records. • Recorded and organized user-reported issues using structured categories • Converted unstructured customer messages into clean, labeled technical next steps • Ensured documentation quality and compliance with workflow guidelines • Supported high-volume queues with consistent data accuracy

2023 - 2023

Education

Work History