Biruh Yeshiwas Mengesha

Key Skills

Software

Other

Supervisely

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Document

Image

Text

Video

Top Task Types

Action Recognition

Classification

Data Collection

Emotion Recognition

Evaluation/Rating

Mapping

Object Detection

Prompt + Response Writing (SFT)

Question Answering

Segmentation

Text Generation

Text Summarization

Tracking

Transcription

Translation/Localization

Polygon

Freelancer Overview

I am a detail-oriented professional with hands-on experience in AI model evaluation, data annotation, and structured quality assessment. My background in architecture and systems design has equipped me with strong analytical skills, enabling me to review complex outputs, identify inconsistencies, and provide actionable feedback based on defined guidelines and rubric-based frameworks. I have evaluated creative and AI-generated outputs, flagged edge cases, and delivered structured reports to improve quality control processes in both creative production and technical domains. Skilled in tools such as Docs, Sheets, Notion, and Adobe Creative Suite, I am adept at multi-step workflow analysis, pattern recognition, and adapting to evolving evaluation standards. With professional English proficiency and a proven track record in remote collaboration, I am committed to delivering high-quality, reliable data labeling and annotation for AI training projects.

Labeling Experience

Speech-to-Text Transcription & Phonetic Labeling

Label StudioAudioAudio RecordingTranscription

Transcribed high-volume audio recordings with 99% accuracy, adhering to strict orthographic and phonetic guidelines. Identified and labeled speaker turns, background noise, and emotional markers (e.g., sarcasm, frustration) to improve AI sentiment analysis.

Transcribed high-volume audio recordings with 99% accuracy, adhering to strict orthographic and phonetic guidelines. Identified and labeled speaker turns, background noise, and emotional markers (e.g., sarcasm, frustration) to improve AI sentiment analysis.

2025 - 2025

Architectural Interior Design Segmentation

SuperviselyImageSegmentation

Detailed pixel-level annotation of interior spaces to train models on texture and material recognition.

Detailed pixel-level annotation of interior spaces to train models on texture and material recognition.

2025 - 2025

Education

Work History