Theophilous Orangun

Key Skills

Software

Data Annotation Tech

Labelbox

Label Studio

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Classification

Emotion Recognition

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

Text Generation

Transcription

Translation Localization

Freelancer Overview

I bring specialized expertise in identifying and handling edge cases and outliers in training data - a critical skill that directly improves model robustness. In my data labeling experience, I've developed a systematic approach to ambiguous data: when encountering unclear or anomalous samples, I don't guess or skip - I flag them with detailed reasoning, document patterns, and collaborate with project leads to refine guidelines. This proactive quality assurance mindset has helped improve dataset consistency and reduce model training noise. Beyond standard annotation, I excel at high-judgment tasks requiring nuanced decision-making. I'm skilled at recognizing when a response is engaging versus merely informative, and when delivery sounds authentically human versus scripted - precisely the kind of discernment this Sonic Comprehension project demands. My strength is balancing speed with precision: I work efficiently while maintaining the careful attention that edge cases require, and I'm comfortable escalating ambiguities rather than introducing errors into the training data.

Labeling Experience

Data Annotator

Label StudioDocumentClassificationText Generation

As a Data Annotator for Outlier Ai, I was responsible for labeling and categorizing text data to improve AI-driven solutions. I ensured data accuracy and consistency by following detailed annotation guidelines. My work contributed to enhancing machine learning models for natural language processing tasks. • Labeled and classified various text datasets for training and validation purposes. • Maintained high image annotation quality and met established performance benchmarks. • Collaborated with team members to resolve ambiguous labeling cases. • Utilized digital annotation tools and platforms as required.

As a Data Annotator for Outlier Ai, I was responsible for labeling and categorizing text data to improve AI-driven solutions. I ensured data accuracy and consistency by following detailed annotation guidelines. My work contributed to enhancing machine learning models for natural language processing tasks. • Labeled and classified various text datasets for training and validation purposes. • Maintained high image annotation quality and met established performance benchmarks. • Collaborated with team members to resolve ambiguous labeling cases. • Utilized digital annotation tools and platforms as required.

2022

Education

Work History