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AI-Assisted Music Production Intern
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Job Description
Location: Hyderabad (Work from Office)
Duration: 6 months (project-based, extendable)
Engagement: Internship
About the Program
People Tech is expanding into the Entertainment domain, driven by our CEO’s vision to blend artistic creativity with AI innovation. As part of this initiative, we are launching a strategic internship program for Musicians who are passionate about experimenting with AI tools to create original music for the next generation of entertainment projects.
This internship offers a unique opportunity to co-create music and immersive content that will be part of real entertainment IPs.
Key Responsibilities
- Explore, experiment, and produce music using AI composition tools (Suno, AIVA, Soundraw, Amper, etc.) along with traditional DAWs/software (Ableton, Logic Pro, FL Studio).
- Collaborate with writers to transform concepts into complete audio-visual experiences .
- Adapt music for multiple formats – short-form (ads, reels, jingles) and long-form (tracks, background scores).
- Research and integrate emerging AI music trends into projects.
Qualifications – Who Can Apply
- Students pursuing or graduates in Music, Performing Arts, Sound Engineering, Fine Arts , or related fields.
- Basic knowledge of instruments (keyboard, guitar, percussion, etc.) or DAWs (Ableton, Logic Pro, FL Studio, GarageBand).
- Proven passion for music and interest in AI-assisted music creation.
- Innovative, experimental, and eager to push tech-driven creativity.
Strategic Impact of the Internship
- Build AI-first creative workflows in music production.
- Generate original entertainment IPs for People Tech’s projects.
- Gain direct visibility with CEO-level initiatives .
- Establish yourself as an early mover in AI + Entertainment careers .
Engagement Model
- Duration: 2–6 months (flexible based on project cycles)
- Mode: Work From Office (Hyderabad)
- Stipend: Fixed stipend + performance-based incentives
- Benefits: Internship Certificate, Portfolio credits, Industry exposure in AI-driven Entertainment
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