Devan B.

Key Skills

Software

Other

Top Subject Matter

Online investments

educational content

performance analytics

Top Data Types

Text

Video

Image

Top Task Types

Data Collection

Question Answering

Text Summarization

Classification

Freelancer Overview

Digital Content Manager & Strategist (YouTube: Birrmining & Money Lab). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Bahir Dar University (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Digital Content Manager & Strategist (YouTube: Rafa Football & Money Lab)

OtherText

Developed and maintained educational investment-focused digital content that required high-accuracy information review and refinement for clarity. Analyzed engagement and performance metrics to iteratively improve content strategy using structured and unstructured information signals. Performed ongoing quality checks to ensure technical correctness and audience-relevant explanations for AI/data training style datasets. • Reviewed content drafts to verify factual accuracy and consistency • Assessed performance metrics to guide revisions and content prioritization • Categorized and organized content themes and learning points • Identified errors or unclear statements and updated materials accordingly

2024 - Present

Technical Maintenance & Systems Repair

OtherData Collection

Applied a systematic, step-by-step troubleshooting process when diagnosing and repairing desktop and mechanical systems, reflecting a methodology suitable for data curation and high-accuracy labeling workflows. Identified system failures using logical reasoning, supporting reliable decision-making that can translate to labeling QA and dataset validation tasks. Although not explicitly described as AI training, the role emphasizes structured problem decomposition aligned with annotation quality control. • Collected observations from hardware and interface behavior for diagnosis • Logged or tracked failure causes conceptually to guide corrective actions • Verified repairs through repeat checks to reduce error rates • Used a high-accuracy approach to isolate issues before confirming solutions

2024 - 2025

Education

Work History