Remote Music Content Analyst Fellow

Handshake; United States; On-site; USD 40,000 - 60,000; Part time

Job summary

Handshake is looking for Music Content Analysts (Fellows) to develop and evaluate AI systems in music. Ideal candidates will have a degree in music or relevant experience as musicians with strong analytical skills.

Responsibilities include reviewing lyrical accuracy, conducting vocal analysis, and classifying song structures. Applicants should be detail-oriented and familiar with music theory. This remote fellowship is a unique opportunity for music enthusiasts to influence AI.

Qualifications

• Bachelor’s degree in Music, Music Theory, Music Performance, Music Education, or related field.
• Strong ear for pitch, harmony, and vocal layering.
• Familiar with common song structures across genres.

Responsibilities

• Review lyrics for accuracy and correct any discrepancies.
• Identify the number of singers and their genders in a track.
• Classify song excerpts into sections using provided frameworks.

Skills

Strong ear for pitch

Attention to detail

Familiarity with song structures

Education

Bachelor’s degree in Music or related field

Job description

Handshake is looking for Music Content Analysts (Fellows) to develop and evaluate AI systems in music. Ideal candidates will have a degree in music or relevant experience as musicians with strong analytical skills.

Responsibilities include reviewing lyrical accuracy, conducting vocal analysis, and classifying song structures. Applicants should be detail-oriented and familiar with music theory. This remote fellowship is a unique opportunity for music enthusiasts to influence AI.