Ruhiu K.

Key Skills

Software

Other

Clickworker

Labelbox

Mindrift

Toloka

Top Subject Matter

AI Evaluation & Training

Customer Technical Support

Top Data Types

Text

Video

Audio

Top Task Types

Segmentation

Object Detection

Text Generation

Transcription

Evaluation/Rating

Question Answering

Bounding Box

Freelancer Overview

Over the past several years, I have worked as a freelance AI Evaluator, Trainer, and Data Labeling Specialist supporting AI model improvement projects in remote environments. My experience includes annotating and labeling text data, evaluating AI-generated responses for accuracy, relevance, safety, and tone, as well as transcription and quality assurance tasks. I have worked with structured guidelines to review conversational AI outputs, identify inconsistencies, and provide detailed feedback that improves model performance and user experience. My background in customer and technical support has strengthened my analytical thinking, problem-solving, and ability to understand user intent in real-world scenarios. What sets me apart is my strong attention to detail, consistency, and ability to balance quality with productivity while working independently in remote teams. I am comfortable handling large datasets, following complex instructions, and maintaining high accuracy standards across repetitive tasks. My combination of technical support experience, communication skills, and AI evaluation knowledge enables me to contribute effectively to data labeling, model training, and content evaluation projects.

Labeling Experience

AI Evaluator & Trainer (Freelance)

OtherVideoSegmentation

I have served as an AI Evaluator & Trainer on a freelance, part-time, remote basis. My responsibilities included training AI models, evaluating outputs, and performing annotation and response rating to improve AI performance. I labeled and transcribed data with a focus on quality and real-world relevance. • Trained and evaluated AI-generated responses according to project guidelines. • Labeled and annotated textual data to refine model accuracy. • Transcribed text data and rated AI outputs for quality and usefulness. • Applied structured evaluation criteria to ensure consistent labeling decisions.

2025 - Present

Education

Work History