Ethyn A.

Key Skills

Software

Clickworker

Mercor

Micro1

Mindrift

Top Subject Matter

Annotated text for AI training and dataset quality assurance (general NLP).

Multilingual NLP research annotation (NER/POS).

Hate speech detection / toxic content classification.

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Classification

Text Summarization

Question Answering

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Text Generation

Object Detection

Point/Key Point

Freelancer Overview

Data Quality Assistant (Performing quality assurance on annotated text dataset).. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Arts, University of Texas at Austin (2025) and Diploma in Linguistics, University of Texas at Austin (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Data Quality Assistant (Performing quality assurance on annotated text dataset).

Text

Performed quality assurance on an 8,000+ entry annotated text dataset by identifying and correcting mislabeled items. Followed structured guidelines and used systematic review to ensure label consistency across the dataset. Documented and applied corrections to improve overall training-data reliability.• QA review of annotated text entries.• Corrected mislabeled items to improve dataset accuracy.• Followed structured labeling/QA guidelines for consistency.• Improved review speed using a personal error-checking process.

2025 - Present

Data annotation for NLP Research.

Don't discloseTextEntity (NER) Classification

Annotated 3,000+ sentences with named entity recognition (NER) and part-of-speech (POS) tags to support a multilingual NLP model. Maintained 95% inter-annotator agreement through weekly calibration sessions with a team of six. Created detailed annotation guidelines for ambiguous linguistic edge cases.• Labeled text for NER and POS tagging.• Maintained high inter-annotator agreement via weekly calibration.• Used and contributed to detailed guidelines for edge-case ambiguity.• Supported dataset creation for a multilingual NLP model.

2024 - 2025

Training Data Curation for Hate Speech Detection.

Don't discloseTextClassification

Curated and labeled 5,000+ social media posts for hate speech detection using a toxic vs. non-toxic text categorization rubric. Applied linguistic pragmatics to capture implicit harmful language that basic classifiers often miss. Evaluated model performance after training on the curated dataset, achieving an F1 score of 91%.• Labeled social posts as toxic or non-toxic using a detailed rubric.• Identified implicit harmful language using linguistic pragmatics.• Curated training data to improve downstream model performance.• Supported text categorization model training and evaluation.

2024 - 2024

Undergraduate Research Assistant (Data annotation for LLMs project; dataset labeling/cleanup).

Text

Labeled and cleaned 10,000+ text samples for a low-resource language translation dataset as part of an undergraduate research effort. Used Python scripts to automate consistency checks and flag annotation errors during the curation process. Collaborated remotely with faculty and PhD students to improve overall annotation quality.• Labeled and cleaned text samples for low-resource translation.

2023 - 2023

Education

Work History