ZipRecruiter

Log In

2

Music Analyst Remote Jobs in Michigan (NOW HIRING)

All JobsMusic Analyst JobsMusic Analyst Remote JobsMusic Analyst Remote Jobs in Michigan

Music Analyst Remote information

What is the difference between Music Analyst Remote vs Music Data Coordinator?

AspectMusic Analyst RemoteMusic Data Coordinator
Required CredentialsMusic-related degree, analytical skills, familiarity with music industryMusic-related degree, data management skills, attention to detail
Work EnvironmentRemote, independent analysis, music industry companiesRemote or office, data entry and organization, music industry settings
Employer & Industry UsageMusic streaming services, record labels, analytics firmsMusic labels, distribution companies, data management teams
Common Search & ComparisonYesYes

The main difference between a Music Analyst Remote and a Music Data Coordinator lies in their focus. Music Analysts primarily interpret data to provide insights into music trends and consumer behavior, often working independently. Music Data Coordinators handle the organization and management of music-related data, ensuring accuracy and accessibility. Both roles require a music-related background and often operate remotely within the music industry, but their core responsibilities differ in analysis versus data management.

How does a remote music analyst typically collaborate with other teams or departments?

As a remote Music Analyst, you will frequently collaborate with teams such as data science, marketing, and content curation through virtual meetings and shared digital platforms. Communication tools like Slack, Zoom, and project management software are commonly used to coordinate tasks, share insights, and provide feedback on music trends or metadata analysis. Building strong relationships with cross-functional teams is essential, as your analytical findings often guide playlist curation, marketing strategies, and user experience improvements. Regular check-ins and clear documentation help maintain alignment and ensure everyone is working towards shared objectives.

What are the key skills and qualifications needed to thrive as a music analyst remote?

To thrive as a Music Analyst (Remote), you generally need a strong background in music theory, data analysis, and familiarity with music industry trends, often supported by a degree in music, statistics, or a related field. Proficiency in data analysis tools like Excel, SQL, Python, and music metadata platforms such as MusicBrainz or Spotify for Artists is typically required. Excellent attention to detail, strong communication, and a passion for music help you interpret data meaningfully and collaborate effectively across teams. These skills are crucial for accurately analyzing music trends, informing business decisions, and ensuring high-quality insights in a fast-evolving digital music landscape.

What does a music analyst do when working remotely?

A remote Music Analyst evaluates and interprets music data to identify trends, categorize songs, and provide insights for streaming platforms, record labels, or media companies. Their tasks often include analyzing listening patterns, tagging and classifying music genres, and recommending tracks for playlists or marketing. Working remotely, they use specialized software and databases to access music libraries and analyze data, collaborating with teams via digital communication tools. This role requires a strong knowledge of music, analytical skills, and familiarity with music metadata and industry trends.
What are popular job titles related to Music Analyst Remote jobs in Michigan? For Music Analyst Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Music Analyst Remote jobs in Michigan look for? The top searched job categories for Music Analyst Remote jobs in Michigan are:
What cities in Michigan are hiring for Music Analyst Remote jobs? Cities in Michigan with the most Music Analyst Remote job openings:
Music Analyst Remote jobs near you
Infographic showing various Music Analyst Remote job openings in Michigan as of July 2026, with employment types broken down into 69% Full Time, 6% Part Time, 24% Contract, and 1% Nights. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

Detroit, MI • On-site, Remote

$50/hr

Full-time

Posted 4 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

Right to Work (English/Spanish)

E-Verify Participation (English/Spanish)

Apply