Abigael N.

Key Skills

Software

No software listed

Top Subject Matter

AI response evaluation

transcript correction

multilingual audio

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

Data Annotator — Text, Audio & Multimodal. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, N/A (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Data Annotator — Text, Audio & Multimodal

TextRLHF

In this ongoing role, I label AI response pairs using multi-dimensional rubrics and perform pairwise preference ranking to generate RLHF training data for large language models. I correct machine-generated transcripts verbatim and apply rich transcription conventions. I also conduct speaker count voting, language identification annotation, and categorize user prompts by task type. • Labeled for factuality, instruction following, helpfulness, and style. • Flagged model errors and non-compliance in AI outputs. • Worked with both text and audio datasets, including 25+ languages. • Used proprietary annotation platforms for large-scale labeling tasks.

2025 - Present

Text Data Labeler — English Language

TextFine-tuning

As a text data labeler, I created and labeled English-language training examples for NLP model fine-tuning. I verified grammar, punctuation, tone, and factual correctness of labeled samples, maintaining strict quality benchmarks and alignment with style guides. This experience involved rigorous attention to detail and consistency across diverse text formats. • Generated annotated text data for NLP model development. • Maintained project style guide compliance. • Focused on English language data and standardization. • Supported large-scale model training initiatives.

2024 - 2025

Content Annotator & Quality Reviewer

Text

I reviewed and labeled AI-generated content for factual accuracy, logical coherence, and safety compliance. I applied structured annotation schemas to ensure consistency across large datasets and provided written justifications to support auditing and QA processes. My work ensured dataset integrity and supported scalable annotation workflows. • Ensured consistency and guideline adherence across content. • Managed high-volume annotation reviews for quality assurance. • Provided clarifying feedback to support QA processes. • Used a specialized content evaluation platform for annotation.

2024 - 2025

Education

Work History