Is this job worth applying to?

Pay

Above typicalTops out at $50/hr. The typical top rate across 238 priced audio listings is $40/hr.

Getting in

Hard to get in~1–2 hours of assessments. Valid government photo ID.

Steady work

Work is patchyFeast-or-famine project volume.

Payout record

Some delaysSchedule: weekly, by Friday for the prior Monday–Sunday. Paid via Stripe or PayPal (depends on country).

Freshness

Older postPosted 5mo ago. Still listed on Alignerr on Nov 6, 2026.

Where you live

Open worldwideOpen worldwide.

The job description

About the Role

What if your fluency in English and your trained ear for sound could directly shape how AI understands the human voice? We're looking for skilled English transcribers with audio engineering expertise to convert complex audio into pristine, accurate transcripts — and to apply your sound knowledge to optimize, clean, and evaluate audio quality along the way.

This role sits at the intersection of language precision and technical audio skill. You'll work with a wide range of real-world recordings — from interviews and podcasts to field recordings and mixed-media content — producing the high-quality transcriptions and audio assessments that teach AI systems to truly hear and interpret speech.

This is a fully remote, flexible contract role. If you have native-level English fluency, sharp listening skills, and a working knowledge of audio engineering, this is your opportunity to do meaningful work on your own schedule.

What You'll Do

Listen to English-language audio recordings and produce accurate, well-formatted written transcripts
Handle diverse speakers, accents, speech speeds, overlapping dialogue, and varying audio quality
Apply audio engineering knowledge to assess and flag recording quality issues — background noise, clipping, frequency imbalances, and distortion
Clean, normalize, or enhance audio files when needed using standard audio tools and DAWs
Apply consistent formatting, punctuation, speaker labeling, and grammar conventions throughout each transcript
Flag unclear, inaudible, or ambiguous segments with precise timestamps and context notes
Provide structured feedback on audio quality and transcription challenges to improve future workflows
Meet quality standards and turnaround targets for each assignment
Work independently and asynchronously on your own schedule

Who You Are

Native or near-native fluency in English with excellent written communication skills
Strong active listening skills with a keen, trained ear for audio detail
Working knowledge of audio engineering fundamentals — signal flow, EQ, noise reduction, normalization, and common DAWs (Audacity, Adobe Audition, Pro Tools, Logic, or similar)
Good typing speed and accuracy — you can keep pace with natural speech
Patient, focused, and methodical when working through challenging or degraded audio
Able to follow detailed transcription and audio quality guidelines with consistency
Comfortable using web-based tools, transcription software, and audio editing platforms
Self-motivated and reliable when working independently without supervision

Nice to Have

Professional experience in transcription, captioning, or subtitling
Formal training or certification in audio engineering, sound design, or music production
Experience with podcast production, broadcast media, or field recording
Familiarity with different English accents and dialects — American, British, Australian, South African, Indian, and beyond
Background in journalism, linguistics, court reporting, or administrative transcription
Experience with AI training data pipelines or annotation workflows

Why Join Us

Work on real AI projects alongside leading research labs shaping the future of speech technology
Fully remote and flexible — work when and where it suits you
Combine your language skills and audio expertise in a single, meaningful role
Freelance autonomy with the structure of purposeful, task-based work
Contribute to AI development that transforms how technology understands human speech and sound
Potential for ongoing work and contract extension as new projects launch

How do you apply to Alignerr?

Apply on Alignerr

The Apply button opens this post on Alignerr's own site. You apply with them, not with Rubric. Budget about 1–2 hours of assessments.

Get through screening

What Alignerr asks for after you apply:

Take the TestGorilla skills assessment (usually one attempt per role)
Verify your identity with Persona
Join the Alignerr Slack community
Set up payouts once you are assigned to a project

Start work and get paid

Pay schedule: weekly, by Friday for the prior Monday–Sunday. Paid via Stripe or PayPal (depends on country). You're paid for the work they hand out, not a fixed salary.

Alignerr also needs

Valid government photo ID
Degree or professional experience for expert roles
Webcam for proctored assessments on some roles

Red flags

Red flagLong gaps with no project after passing
Red flagWorker reports of delayed or withheld payments on Glassdoor

What is Alignerr like to work for?

Labelbox's contractor network, which hires generalists and domain experts to label data and write and grade AI training tasks.

Advertised pay	$15–150/hr
Getting in	Hard to get in
Application takes	~1–2 hours of assessments
How you get paid	Weekly, by Friday for the prior Monday–Sunday, via Stripe or PayPal (depends on country)
Payout record	Some delays
Countries	Accepts most countries but blocks signups from about two dozen; posts India-specific roles such as Hindi, Telugu and Indian-English language and cultural review work.

Generalist and bilingual work is around $15–20/hr, coding QA $30–40/hr, and senior software, advanced math, medical and law roles $70–150/hr; some projects pay per approved task.