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Internship Remote Music Record Label Jobs (NOW HIRING)

Research Scientist - Music

New York, NY · On-site +1

$132K - $188K/yr

Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in ...

... recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and ...

By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered ... This role is remote or hybrid for candidates applying from the NY metro area. What you'll do * Own ...

By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered ... This role is remote or hybrid for candidates applying from the NY metro area. What you'll do * Own ...

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

We own and operate a broad array of businesses engaged in recorded music, music publishing ... We are offering US-Remote co-op positions in fall 2026 in the field of data engineering. How we ...

Enthusiastic about music and recording art ABOUT KICKBACK Kickback is one of YouTube's newest ... We are an entirely remote team focused on a fun, lighthearted working environment and work-life ...

Influencer & Talent Agent

New York, NY · On-site +1

$1.0K - $10K/mo

Remote (Work from Anywhere) Job Type: ⏰ Full-Time Freelance Contract (Flexible Hours ... Secure and negotiate high-value deals with brands, agencies, and record labels, creating successful ...

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

$1.0K - $10K/mo

Remote (Work from Anywhere) Job Type: ⏰ Full-Time Freelance Contract (Flexible Hours ... Secure and negotiate high-value deals with brands, agencies, and record labels, creating successful ...

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

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Internship Remote Music Record Label information

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How much do internship remote music record label jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for internship remote music record label in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Remote Music Record Label vs Music Producer?

AspectInternship Remote Music Record LabelMusic Producer
CredentialsTypically pursuing or recent graduate in music, business, or related fieldsOften has formal music production training or experience
Work EnvironmentRemote, collaborative with label team and artistsStudio-based or remote, focused on creating and mixing music
Industry UsageEntry-level role within a record labelProfessional role responsible for music creation and arrangement

Internship Remote Music Record Label roles are primarily entry-level, focusing on learning about the music industry, assisting with administrative tasks, and supporting artists remotely. Music Producers are experienced professionals who create, arrange, and produce music, often working in studios or remotely. While both roles may require some music knowledge, internships emphasize learning and support, whereas producers focus on music creation and technical skills.

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What states have the most Internship Remote Music Record Label jobs? States with the most job openings for Internship Remote Music Record Label jobs include:

Machine Learning Engineer - Artist-First AI Music Lab

Spotify

Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Spotify is a leading music streaming service dedicated to enhancing the experiences of music creators and fans. They are seeking a Machine Learning Engineer to design and build AI-driven music experiences that prioritize artists and their creative expressions.
Responsibilities:
• Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready features.
• Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.
• Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration.
• Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design.
• Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale.
• Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality.
• Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure.
• Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans.
Qualifications:
Required:
• Experienced in applying machine learning in production environments.
• You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production.
• You have experience building and maintaining production ML systems using Python, Java, Scala, or similar languages.
• You are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data.
• You have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments.
• You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences.
• You have experience building user-facing products and strong judgment around conversational AI and generative user experiences.
• You care deeply about experimentation, iteration, and using data to guide product and engineering decisions.
• You thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn.
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.