Audio Voice Annotation Trainer (Portuguese, German)

You will take part in a scheduled group recording session for a speaker-identification and speech-understanding project. Your recordings will help train AI systems to recognize different speakers and understand spoken conversation.

The role requires active participation in natural, unscripted discussion. The duties and qualifications combine Portuguese and German language requirements, so review them carefully before applying.

• Join the group recording session at the scheduled date, time, and time zone.
• Speak clearly and naturally about given topics, responding spontaneously to other participants.
• Take part throughout the session. Silent attendance is not acceptable.
• Record in a quiet space without background noise, echo, or distortion.

What it pays and takes

The source does not specify a pay rate. This is a part-time contractor role with a time requirement of at least 20 hours per week.

The project is open worldwide. You must be fluent in Portuguese and German and able to communicate naturally in a group conversation.

• Pay: Not specified.
• Time: 20+ hours per week, with a scheduled live recording session.
• Location: Open worldwide.
• Languages: Fluency in Portuguese and German.
• Equipment: A high-quality wired microphone and wired headphones. Bluetooth devices and built-in laptop speakers are not accepted.
• Environment: A quiet recording space with no background noise, echo, or distortion.
• Connection: Reliable internet for the live session.
• Skills: A clear speaking voice, communication skills, and willingness to collaborate.
• Helpful background: Voice acting, audio recording, podcasting, recording equipment, or audio-quality practices.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that understand speech and other data. People record, review, and label examples so AI can learn patterns such as who is speaking and what is being said. Experienced contributors may qualify for specialized projects because their language and audio skills help produce reliable training data.