Spanish (Spain) Audio Transcriptionist – AI Training
Alignerr · Remote · Voice / audio
Spanish (Spain) Audio Transcriptionist – AI Training is an open role at Alignerr, available remotely, with pay listed as $10–$35/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $10–$35/hrStated by Alignerr
- Location
- Remote
- Work type
- Voice / audio
- Field
- Voice / Speech
- Listed
- Since Oct 4, last confirmed Oct 23
How the pay compares
Higher than 39% of the 46 distinct hourly rates advertised for Voice / Speech roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Spanish (Spain) Audio Transcriptionist (AI Training) About the Role What if your ability to catch every word, pause, and nuance in spoken Spanish could directly shape how AI understands real human conversation?”
Show the full listing
Spanish (Spain) Audio Transcriptionist (AI Training) About the Role What if your ability to catch every word, pause, and nuance in spoken Spanish could directly shape how AI understands real human conversation? We're looking for detail-oriented transcriptionists based in Spain to produce precise, high-quality transcriptions of spoken Spanish audio — helping build the datasets that teach AI systems to truly listen. This is hands-on, meaningful work for anyone with sharp ears and native-level Peninsular Spanish. You'll tackle real-world audio featuring crosstalk, multiple speakers, background noise, and natural speech patterns — turning messy, authentic conversation into clean, structured text. No prior AI experience needed. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Listen to audio recordings in Spanish and produce accurate, verbatim transcriptions following detailed style and formatting guidelines Handle challenging audio scenarios — including crosstalk, overlapping speakers, filled pauses (e.g., "eh", "mm"), background noise, and varying audio quality Accurately identify and differentiate between multiple speakers within a single recording Apply consistent formatting conventions for timestamps, speaker labels, non-verbal sounds, and unclear segments Flag audio segments that are unintelligible or ambiguous, following established protocols Maintain a high standard of accuracy, consistency, and attention to detail across all assignments Work independently and asynchronously — fully on your own schedule Who You Are Native Spanish speaker from Spain — with an intuitive command of Peninsular Spanish vocabulary, expressions, accents, and speech patterns Exceptional listening skills with an ear for subtlety — you catch what others miss Comfortable working with imperfect audio: background noise, fast speech, interruptions, and overlapping dialogue don't throw you off Naturally detail-oriented with a methodic
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Spanish (Spain) Audio Transcriptionist – AI Training role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Spanish (Spain) Audio Transcriptionist – AI Training role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Spanish (Spain) Audio Transcriptionist – AI Training role at Alignerr pay?
Alignerr lists this role's pay as $10–$35/hr, quoted from the listing rather than estimated.
What kind of work is Spanish (Spain) Audio Transcriptionist – AI Training?
Voice / audio. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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