Emmanuel Johnson
Music annotator
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About
Creative and versatile pianist, music tutor, music producer, and AI trainer with over 5 years of experience in music performance, instruction, audio production, and music analysis. Strong background in music theory, rhythm interpretation, chord recognition, genre classification, melody transcription, and audio evaluation. Experienced in teaching and simplifying musical concepts for learners of varying skill levels, with excellent communication and attention to detail.
Skilled in critical listening, identifying musical structures, harmonies, rhythmic patterns, and stylistic characteristics across diverse genres. Additionally experienced in AI annotation, music tagging, audio classification, data labeling, and AI model evaluation, with a proven ability to analyze complex datasets, follow detailed guidelines, and deliver accurate, high-quality results.
Experience
Music Tutor at Bosrael Music School (2024-03 – 2026-06)
- Taught piano, keyboard, and music theory to students across varying skill levels.
- Developed lesson plans covering music fundamentals, rhythm, ear training, performance techniques, and sight-reading.
- Assessed student progress and provided personalized guidance to improve musical competence.
- Simplified complex music concepts to enhance understanding and practical application.
- Encouraged confidence and creativity through structured practice and performance exercises.
Sound Engineer / Music Producer at Johnsonkeys Studio (2018-09 – Present)
- Recorded, edited, and produced audio projects for artists and music clients.
- Created instrumentals and musical arrangements using FL Studio.
- Mixed audio tracks to achieve professional sound quality and consistency.
- Applied critical listening skills to analyze rhythm, harmony, pitch, tempo, and musical structure.
- Collaborated with musicians and clients to achieve desired creative outcomes.
- Maintained recording equipment and supported studio production workflows.
AI Trainer / AI Tasks Delivery Specialist at Mindrift (2025 – 2025)
- Conducted AI data annotation, music tagging, audio classification, and model evaluation tasks.
- Assessed AI-generated outputs for accuracy, consistency, and quality.
- Applied analytical thinking and domain expertise to improve AI training datasets.
- Interpreted project guidelines and delivered reliable, high-standard annotations.
- Supported quality assurance processes through detailed review and feedback.
- Contributed to the refinement of autonomous AI systems through evaluation and performance analysis.
