Margaret Ekpenyong

Key Skills

Software

Scale AI

Top Subject Matter

Large Language Models

Conversational AI

LLM Evaluation & Safety

Top Data Types

Text

Top Task Types

RLHF

Bounding Box

Classification

Text Generation

Prompt Response Writing SFT

Evaluation Rating

Red Teaming

Text Summarization

Question Answering

Freelancer Overview

Freelance Data Labeler (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Internal, and Proprietary Tooling. Education includes Bachelor of Engineering, N/A (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance Data Labeler (Remote)

Scale AIText

As a freelance data labeler, I worked on annotating and validating text datasets for AI model training and evaluation through platforms such as Scale AI and Remotasks. I conducted LLM evaluation, prompt engineering, and output validation to improve generative and conversational AI systems. I also performed quality assurance, trust and safety review, and prompt optimization within remote teams.• Annotated diverse text datasets for supervised learning and evaluation.• Evaluated, rated, and optimized prompt/response pairs for LLMs.• Conducted output validation for QA and trust & safety tasks.• Utilized platforms like Scale AI, Remotasks, and Outlier for large-scale labeling projects.

As a freelance data labeler, I worked on annotating and validating text datasets for AI model training and evaluation through platforms such as Scale AI and Remotasks. I conducted LLM evaluation, prompt engineering, and output validation to improve generative and conversational AI systems. I also performed quality assurance, trust and safety review, and prompt optimization within remote teams.• Annotated diverse text datasets for supervised learning and evaluation.• Evaluated, rated, and optimized prompt/response pairs for LLMs.• Conducted output validation for QA and trust & safety tasks.• Utilized platforms like Scale AI, Remotasks, and Outlier for large-scale labeling projects.

2022 - Present

Quality Assurance Tester (Remote)

Text

As a quality assurance tester, I focused on validating AI-generated output, reviewing annotations, and ensuring data quality for trained models. My role involved prompt testing, red teaming, and refinement of AI system responses. I collaborated closely with developers and annotation teams to maintain high performance standards.• Reviewed labeled data and AI outputs for consistency and accuracy.• Performed red teaming and adversarial testing on LLMs and AI assistants.• Implemented prompt-based evaluation and scoring methodologies.• Reported findings to improve annotation pipelines and AI accuracy.

As a quality assurance tester, I focused on validating AI-generated output, reviewing annotations, and ensuring data quality for trained models. My role involved prompt testing, red teaming, and refinement of AI system responses. I collaborated closely with developers and annotation teams to maintain high performance standards.• Reviewed labeled data and AI outputs for consistency and accuracy.• Performed red teaming and adversarial testing on LLMs and AI assistants.• Implemented prompt-based evaluation and scoring methodologies.• Reported findings to improve annotation pipelines and AI accuracy.

2018 - 2022

Education

Work History