Evaluate AI-generated music for musicality, creativity, production and vocal quality, classify songs by genre/structure, identify subtle audio issues, and provide structured feedback to improve generative music systems. Must apply consistent criteria across genres and document observations in English.
This role is for one of our clients
Compensation: $42-$78 per hour
We are seeking experienced music producers, audio engineers, and mixing professionals to contribute to an AI research initiative focused on evaluating generative music systems.
In this role, you will use your professional audio expertise and knowledge of the Swedish music landscape to assess AI-generated music against detailed quality standards. You will evaluate musicality, creativity, production quality, vocal performance, lyrical quality, and adherence to specific prompts or references.
The role requires strong Swedish and English language proficiency and a critical ear capable of identifying subtle differences in musical and production quality.
RequirementsKey Responsibilities
- Compare AI-generated songs based on:
- Musicality
- Creativity and originality
- Prompt adherence
- Vocal quality and performance
- Production and mixing quality
- Classify and label songs according to genre, musical structure, instrumentation, vocal characteristics, and other relevant attributes.
- Evaluate AI-generated lyrics and vocals against reference material for quality, accuracy, and consistency.
- Identify subtle issues in arrangement, performance, mixing, production, and overall musical execution.
- Apply detailed evaluation criteria consistently across different musical styles and genres.
- Provide clear, structured feedback that helps improve the quality and reliability of AI-generated music.
- Use professional listening judgment to distinguish technically strong productions from outputs with noticeable creative or audio-quality issues.
- Native or near-native proficiency in Swedish, with the ability to understand and follow detailed written instructions in English.
- 2+ years of professional experience as a:
- Music Producer
- Audio Engineer
- Mixing Engineer
- Recording Engineer
- Or in a closely related professional audio role.
- Strong familiarity with the Swedish music industry and contemporary Swedish music.
- High-quality headphones or studio monitors suitable for critical listening.
- Ability to evaluate music objectively against structured quality criteria.
- Strong attention to detail and the ability to articulate observations clearly in written English.
- Formal education or training in music performance, music theory, composition, production, or audio engineering.
- Credited or commercially released production, engineering, mixing, or songwriting work.
- Broad familiarity with contemporary Swedish genres, sub-genres, artists, and production styles.
- Experience working across multiple musical genres.
- Previous experience evaluating AI-generated music, audio, lyrics, or other generative content.
- Start Date: Immediate
- Duration: Up to 6 months
- Commitment: Flexible
- Most contributors work approximately 20 hours per week, with no fixed maximum.
- Submit your resume and relevant professional background.
- Complete the required application steps, including a Bilingual Competency Interview in Swedish.
- Selected candidates will receive onboarding instructions and next steps after evaluation.
- You will be engaged as an independent contractor.
- This is a fully remote opportunity with flexible scheduling.
- Projects may be extended, shortened, or concluded early depending on project requirements and performance.
- Work will not require access to confidential or proprietary information belonging to any employer, client, or institution.
- Payments are made weekly based on services rendered through available payment platforms.
- H-1B and STEM OPT candidates are not currently supported.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Fintech • HR Tech
Own CX data infrastructure, including pipelines, data models, governance, monitoring systems, and Streamlit dashboards. Apply advanced statistics and AI-assisted anomaly detection to identify customer experience opportunities and performance issues. Partner with CX leaders, data science, engineering, and Salesforce teams to define metrics, answer causal questions, and guide operational decisions. Establish data quality standards, validate AI-generated outputs, communicate insights clearly, and mentor data practitioners.
Top Skills:
DatabricksDbtPythonSalesforceSnowflakeSQLStreamlit
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Manage marketplace business operations and day-to-day functions while delivering strategic transformation projects. Build scalable systems to replace manual processes, establish operational rigor across teams, oversee billing and fulfillment programs for key accounts, and use AI to automate workflows. The role requires strong organization, analytical problem-solving, project management, communication, and cross-functional collaboration skills.
Top Skills:
AI
Artificial Intelligence • Consumer Web • Logistics
Owns JunkRabbit’s end-to-end customer experience and operating systems. Responsibilities include improving intake, quoting, booking, issue resolution, and service metrics; designing workflows, automation, tooling, and SOPs; acquiring, onboarding, and retaining independent haulers; and leading market launches. The COO will personally handle customer calls, scope complex jobs, onboard partners, analyze operating metrics, and collaborate with engineering and investors in a fast-growing startup environment.
Top Skills:
AIAutomationDynamic Pricing SystemsInternal Tooling
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
