The work
You will record Spanish voice-over audio from provided scripts for AI training and multilingual media projects. You will interpret scripts, adjust your delivery for different audiences and formats, and produce clear, engaging performances.
The work may include commercials, corporate narration, e-learning, audiobooks, and digital media. You will respond to creative direction, revise performances when needed, and deliver clean audio files in the required format.
- Record from a professional home studio or in-studio setting.
- Use clear pronunciation, suitable pacing, and an adaptable tone, pitch, and style.
- Apply microphone technique and recording best practices.
- Complete basic cleanup, leveling, noise reduction, mastering, and file formatting.
- Manage quick turnarounds and deliver consistent work by the deadline.
What it pays and takes
This is a flexible, remote contractor opportunity. A finished hour includes editing, mastering, and cleanup completed according to the scripts and directions.
- Pay: USD 200 per finished hour.
- Additional payment: a one-time USD 20 onboarding and setup fee.
- Schedule: 20 or more hours per week.
- Location: open worldwide and remote.
- Language: fluent Spanish with excellent pronunciation and diction.
- Experience: at least three years of professional voice recording experience.
- Equipment: access to a high-quality microphone and recording setup.
- Proof of work: a portfolio, demo reel, or samples showing studio-grade recording.
- Skills: strong vocal range, professional recording practices, ability to follow direction, and reliable deadline management.
- Helpful background: dubbing, ADR, localization, acting, performing arts, audio-editing tools, or a demo reel showing multiple voice styles.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and apply in minutes.
About AI training work
AI training is the human work behind modern AI systems, including recording and reviewing audio, preparing examples, and evaluating model outputs. People with strong language, performance, or technical skills are paid for the careful work that helps AI handle real-world communication.