Work on your own terms
Pick the projects that fit your schedule. Record from a quiet room at home, on a laptop or a phone. No fixed shifts, no minimum hours, no pressure to take work that does not suit you.
No AI experience, degree or coding background is required. Paid projects can include voice recording, transcription, transcript verification and data annotation, matched to your language and accent. Projects open in waves, so signing up does not guarantee immediate work; it lets us consider you when a suitable project opens. You will see the task brief and payout before accepting an invitation.
Your company has spent years building valuable processes, workflows, and operational expertise. Selected companies can now contribute this knowledge to advanced AI development and receive compensation for their participation.
Spirelight recruits people for paid remote AI training work. Depending on the project, you may record short spoken prompts, transcribe audio, verify other people's transcripts, or complete data annotation and data labelling work that helps voice models learn. These voice recording jobs and transcription tasks require care and the ability to follow a brief, but no degree, coding background or previous AI training experience.
Projects open in waves for particular languages, countries, accents or equipment. Creating a profile does not guarantee immediate work; it lets us match you when a suitable project opens. If you are invited, you see the task brief and fixed payout before deciding whether to accept. New to the field? Start with our guide on how to get paid to train AI as a freelancer, or read what an AI trainer actually does.
Most speech datasets still miss regional accents, multilingual speakers, and everyday conversational speech.
Every phrase you record and every line you transcribe helps production AI systems understand real people across languages, dialects, and underrepresented communities.
Your contributions go directly into active training and evaluation pipelines used in real-world voice products.
Pick the projects that fit your schedule. Record from a quiet room at home, on a laptop or a phone. No fixed shifts, no minimum hours, no pressure to take work that does not suit you.
Each available project explains its payment unit, review process, and payment terms before you accept it. Quality contributors can be considered again when later projects match their profile.
Your voice ends up in datasets that train assistants, in-car systems, accessibility tools, and call routing. The accents and dialects you bring are the ones generic data is missing.
No vague promises and no unpaid trials. Every task carries a fixed price that you see up front, so you can decide if it is worth your time before you start.
Before you accept any task, you see exactly what it pays. The rate is agreed up front and does not change after you submit.
Once a human reviewer approves your submission, the payout is added to your contributor account. No invoices to chase.
Approvals are done by people, not a black box. If something needs a fix, you hear why and get the chance to resubmit.
Sign up once. Get matched when projects fit. Record, get reviewed, get paid.
Share your native languages, regional dialects, and accents so we can match you with recording projects that fit your background.
When a project matches your profile, you receive the task details, guidelines, payment, review process, and other terms up front. Accept the work or skip it freely.
Complete recordings in your browser or upload your files. Once your work clears review, the payment for each task is sent straight to your account.
Use these practical guides to compare online AI training work, prepare for common tasks, and find country-specific opportunities before a matching project opens.
We publish voices from our global contributor community alongside deep dives from speech-tech developers. If you have something to say about remote work, language, or voice AI, we want to read it. Apply to become a Spirelight writer, upload a short bio and your CV, and our team will take it from there.
Apply to writeThe things people ask before they start. If yours is not here, write to contributors@spirelight.net.
Yes. Companies pay people to record speech, transcribe audio, verify transcripts, and label the data models learn from, and much of this work can be completed remotely. On Spirelight, the payment and terms are shown for each available project before you accept it, and completed work is reviewed before payment.
No. Most speech and data tasks need no coding and no formal qualifications. You mainly need a quiet space, a recent phone or a laptop with a decent microphone, a stable connection, and the patience to follow a brief exactly. Care and consistency matter more than a CV.
For recording work, a recent smartphone or a laptop with a clear built-in or USB microphone is often enough. A quiet room with little echo makes a bigger difference than expensive gear. Transcription and data annotation are usually easier with a computer and headphones. Each project states its own device requirements.
Demand changes with each active project. Speech datasets often need regional accents, dialects, code-switching, and languages that are underrepresented in existing data, so it is worth listing every language and dialect you speak when you build your profile.
Legitimate work means you apply, complete a stated task, and get paid under the project's terms. It is a scam if you are asked to pay a fee, buy a kit, or share banking passwords before you work. Spirelight never charges you to join, and submitted work is reviewed against the project rules. We wrote a full guide on how to tell real AI training jobs from the scams.
The work belongs to the same broad AI data category, but Spirelight is speech-first. Projects can include recording, transcribing, checking, and labelling voice data, with matching based on the language, dialect, accent, location, and equipment a project needs. Project availability and terms vary, so compare the task brief before accepting work on any platform.
You can register and build your profile in a few minutes. Work is not guaranteed immediately because projects open in waves and require particular languages, locations, or equipment. When a matching project is available, its payment, review process, and payment terms are shown before you accept it.
Register once and build your speaker profile. Projects open in waves, so joining does not guarantee immediate work; it makes your profile available when a suitable paid project matches your language, accent and location.
Documentation & process knowledge
Most companies have spent years building unique internal knowledge: how work gets done, how decisions are made, how customers are handled, and how complex processes are managed. This operational knowledge is becoming increasingly valuable as AI systems are trained to better understand real-world business environments.
We are currently inviting a limited number of selected companies to participate in a paid AI data partnership, where valuable business processes, workflows, and documentation may help improve future AI capabilities. Nothing new has to be created: software guides, training decks, standard operating procedures, internal wikis, and process documents already exist, and modern AI can learn a great deal from them.
Your company may be a potential fit if it already runs on mature, well documented ways of working. Compensation for enterprise partnerships is significant, agreed up front, and scales with the size, uniqueness, and quality of what you contribute. Register below to get on the list, and we will reach out if there is a match.
Business operations
This project looks at how work actually moves through your business: the software your teams work in every day, the steps they repeat, and the process documentation behind them. It is a strong fit for operations-heavy companies with repeatable, well defined workflows and cross-functional teams.
Frontline & deskless operations
Many companies track highly valuable operational knowledge every day without realizing it, often on paper or in informal tools. This project focuses on how frontline and deskless teams coordinate and track work on the ground: shift handoffs, huddle notes, task trackers, and the everyday records that keep real-world operations running.
We are inviting a limited number of selected companies with large frontline workforces to participate in a paid AI data partnership. Nothing new has to be created. The records your teams already generate can help train and evaluate AI systems on realistic frontline operational settings. We believe the teams that keep real-world operations running should participate in the value created by the next generation of AI systems.
Your company may be a fit if it runs an active frontline or deskless workforce that uses Microsoft Teams, operates in manufacturing, travel, transport, hospitality, or healthcare, and has recent operational activity. Compensation is significant, agreed up front, and scales with the size, diversity, and quality of what you contribute. Register below and we will reach out if there is a match.
Security is the foundation of every project. All data is handled under strict contractual protections, your company keeps ownership, and we never set out to replicate your business, products, customers, or competitive advantage. The sole purpose is to help train and evaluate AI on realistic operational settings.
A straightforward process built to respect your time and your data.
Choose the project that fits and apply through its listing above, hosted by our data partner. It takes a few minutes, with no obligation to continue.
We confirm the fit, define exactly what data is involved, and agree your compensation in writing before anything is shared.
Your data is processed and scrubbed, sensitive details removed, and originals deleted afterward. Payment follows the terms agreed up front.
There is no obligation, payment is agreed up front, and nothing leaves your company until protections are in place.