Favour Ayoh

Key Skills

Software

Appen

Data Annotation Tech

Dataloop

Labelbox

LabelImg

Label Studio

Lionbridge

Micro1

Mindrift

Remotasks

Scale AI

SuperAnnotate

Telus

Top Subject Matter

Artificial Intelligence – LLM Training & Evaluation

Technology – NLP & Conversational AI Systems

Data Services – Annotation, QA & Model Validation

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

Fine-tuning

Data Collection

Evaluation/Rating

Transcription

Computer Programming/Coding

Prompt + Response Writing (SFT)

RLHF

Red Teaming

Function Calling

Freelancer Overview

I am an experienced data annotation and AI model evaluation specialist with over four years supporting large-scale AI training and QA projects. My work spans LLM benchmarking, RLHF evaluation, prompt engineering, and structured data labeling for both text and multimodal datasets. I have deep expertise in designing and auditing annotation workflows, building gold standard datasets, and ensuring inter-rater reliability using tools like Labelbox, ScaleAI, Remotasks, and internal QA dashboards. My background includes hands-on annotation of text, image, and audio data, as well as rigorous quality assurance for supervised fine-tuning, preference ranking, and classification tasks. I am skilled in Python, basic SQL, and data structuring (JSON/XML), and have contributed to open-source datasets in NLP and code-switching. I thrive in remote, cross-functional environments and am recognized for my precision, adaptability, and ability to translate complex evaluation findings into actionable insights for engineering and research teams.

Labeling Experience

Education

Work History