Irene O.

Key Skills

Software

SuperAnnotate

Top Subject Matter

AI training dataset annotation for LLMs (RLHF, preference ranking, instruction tuning)

Multimodal annotation for computer vision and LLM-aligned training data

RLHF/preference ranking evaluation and multimodal dataset curation

Top Data Types

Text

Image

Audio

Document

Top Task Types

Classification

Transcription

RLHF

Question Answering

Freelancer Overview

Senior AI data trainer (project based). Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, KCA University and Bachelor of Science, Kenyatta University. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI data trainer (project based)

TextClassification

Annotated and classified multimodal data for AI training workflows using predefined categories and guideline-driven processes. Analyzed screenshots and interpreted user interfaces to support accurate labeling in diverse digital environments. Followed annotation procedures to meet productivity and quality targets while removing duplicates or irrelevant entries. • Multimodal annotation across text and image, ensuring consistency to standards • Review/verification of annotated data for accuracy and deduplication • Metadata writing/editing (e.g., product titles/descriptions) to maintain labeling consistency • QA validation and data review aligned with annotation procedures

2022 - Present

Data annotator

AudioTranscription

Annotated and reviewed multimodal datasets, including audio, for machine learning and AI model training projects. Maintained high accuracy while meeting productivity and quality targets under detailed labeling guidelines. Supported cross-functional collaboration to ensure datasets met project deadlines and operational goals. • Annotated image, text, and audio datasets for ML/AI training • Performed quality assurance checks to improve annotation consistency • Supported documentation, tooling workflow improvements, and annotation scalability • Maintained data quality records using spreadsheet validation and documentation tools

2020 - 2022

Data annotator

Image

Curated and evaluated multimodal datasets for LLM training workflows spanning text, image, reasoning, and instruction tasks. Conducted quality assurance checks on human-labeled datasets to improve consistency and reliability. Contributed to RLHF and preference ranking by evaluating model outputs, identifying quality gaps, and documenting edge cases. • QA validation on benchmark datasets across distributed contributor teams • RLHF evaluation and feedback, including edge-case documentation • Bias and safety evaluation by flagging hallucinations and policy violations • Followed detailed annotation guidelines across multiple AI projects and workflows

2020 - 2022

Education

Work History