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R
Ruby C.

Ruby C.

Experienced data annotator specialising in AI bias and social awareness.

United Kingdom flagPlymouth, United Kingdom

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

Stereotype & Offensive Content Detection
Image Data Labeling & Quality Assurance
Statistical Graph Recognition Testing

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
Fine-tuningFine-tuning
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering

Freelancer Overview

With nearly a year of experience as a freelance data annotator for Data Annotation Tech, I’ve contributed to 50+ projects focused on evaluating and testing large language models (LLMs). My work involves identifying errors, fine-tuning models to mitigate bias, and ensuring AI outputs meet precise requirements like word counts and accurate data trends. I have significant experience with image-related projects, applying calculation and statistical analysis to verify data accuracy. My background in social sciences gives me a keen eye for detecting stereotyping and offensive content, particularly in politically and socially sensitive contexts. I’ve worked on comparing developing models with established ones like ChatGPT, and on projects related to safety, bias detection, and crafting ideal AI responses. In addition to technical expertise, I have strong analytical and writing skills. I’m adept at evaluating and labeling data, conducting statistical analysis, and reviewing the work of other annotators on the platform to ensure high-quality, consistent outputs.

Labeling Experience

Data Annotation Tech

Hera Document Extraction

Data Annotation TechData Annotation TechDocumentDocumentText SummarizationText SummarizationEvaluation/RatingEvaluation/Rating

Evaluation of AI models ability to summarise, extracts information and answer questions about documents and large bodies of text. This includes includes emails, PowerPoint presentations and business literature.

2024
Data Annotation Tech

Bengal

Data Annotation TechData Annotation TechImageImageObject DetectionObject DetectionEvaluation/RatingEvaluation/Rating

Bengal is a large scale image evaluation project which tests AI models on their ability to analyse and accurately classify aspects of an image. This includes calculation and reasoning abilities in relation to images of graphs and statistics, as the model produced consistent errors in this area.

2024
Data Annotation Tech

Achilles Safety

Data Annotation TechData Annotation TechTextTextClassificationClassificationEvaluation/RatingEvaluation/Rating

The AI models responses are tested with adversarial prompts, these prompts will test for bias and safety violations. Models will be evaluated based on whether they adhere to safety guidelines and how well they perform generally.

2024 - 2024

Education

L

Learning Curve Group

Level 2 UK Short Course, Understanding Coding

Level 2 UK Short Course
2024 - 2024
P

Plymouth University

Bachelors in Sociology, Social Science

Bachelors in Sociology
2021 - 2024