Audio Engineer – AI Audio Quality
Alignerr • Remote • Posted 10 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
10d ago
✅ Applying through this link gives you a verified candidate referral.
Referrals from verified candidates give your profile a visibility boost and help support our platform at no cost to you.
This position is hosted on an external talent platform. Please only apply for this position if it fits your skills and interests.
About this Role
What You'll Do
- Evaluate AI-generated audio outputs including speech, music, and sound effects for quality, naturalness, and technical accuracy
- Identify artifacts, distortions, timing issues, tonal inconsistencies, and unnatural elements in generated audio
- Provide structured feedback on mix quality, frequency balance, spatial characteristics, and clarity
- Rate and compare audio samples using detailed evaluation criteria
- Suggest improvements for more realistic, professional-grade audio output
- Work independently and asynchronously on your own schedule
About the Role
We're looking for skilled Audio Engineers based in the London area and across the UK to help evaluate, refine, and improve AI-generated audio content. You'll listen critically, identify imperfections, and provide expert feedback that trains the next generation of AI audio systems — from speech synthesis to sound design and music production.
- Organization: Alignerr
- Type: Hourly Contract
- Compensation: $50–$100 /hour
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Trained ear with professional or semi-professional audio engineering experience
- Familiar with core audio concepts: EQ, compression, reverb, stereo imaging, gain staging, and signal flow
- Comfortable critically evaluating audio across genres and formats (voice, music, SFX)
- Strong attention to detail and ability to articulate technical observations in writing
- Experience with DAWs (Pro Tools, Logic, Ableton, Reaper, or similar)
- No prior AI or machine learning experience required
Nice to Have
- Experience in mixing, mastering, sound design, or post-production
- Background in music production, podcasting, film audio, or broadcast
- Familiarity with audio file formats, sample rates, and bit depths
- Knowledge of psychoacoustics or audio perception research
Why Join Us
- Work on cutting-edge AI audio projects with top research labs
- Flexible, fully remote work — set your own schedule
- Freelance perks: autonomy, global collaboration, and creative problem-solving
- Shape how AI understands and produces sound
- Potential for ongoing work and contract extension
Application Process (Takes 10–15 min)
PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
We're looking for skilled Audio Engineers based in the London area and across the UK to help evaluate, refine, and improve AI-generated audio content. You'll listen critically, identify imperfections, and provide expert feedback that trains the next generation of AI audio systems — from speech synthesis to sound design and music production. - Organ
Skills & Categories
Explore other opportunities in related specializations:
Related Jobs
Browse All Jobs from Alignerr
Discover more opportunities on Alignerr that match your skills and interests.
View All Alignerr Jobs →Community Reviews
Leave your review
Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.