Turkish Audio Transcription & Speech Data Specialist

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find projects, build a unified portfolio, and grow a durable freelance career working on the human side of AI.

You’ll join a fast-growing community of remote contributors who shape how state-of-the-art AI systems behave by producing and curating the examples those systems learn from.

About AI training work

AI training (also called data labeling or annotation) is the human work that teaches models to understand language and speech. Tasks include recording, transcribing, and evaluating audio so models learn pronunciation, clarity, and natural speech patterns.

This work is often remote and flexible, making it a great way to earn while contributing directly to next-generation language technologies.

The role

Micro1 is hiring a Turkish Audio Transcription and Speech Data Specialist (contractor, part-time) to record, transcribe, and evaluate Turkish speech data used to train AI models. This role emphasizes accurate transcription, phonetic clarity, and consistent annotation to ensure high-quality language datasets.

• Employment: Contractor, Part-time
• Estimated time: 20+ hours per week
• Work location: Remote — worldwide applicants accepted
• Pay: Pay-per-hour; range $10–$40/hr, up to $40/hr (as posted)
• Data type: Audio (recording and transcription)
• Labeling tools: OTHER (platform specified by project)

What you'll do

You will create and curate Turkish speech data following strict linguistic guidelines and quality standards. Expect a mix of recording, careful transcription, evaluation for pronunciation and clarity, and collaboration with the project team to maintain dataset integrity.

• Record high-quality Turkish audio samples according to project guidelines.
• Transcribe and annotate audio with accurate, consistent written Turkish.
• Evaluate clips for phonetic clarity, natural flow, and pronunciation accuracy.
• Participate in speech data collection initiatives and provide feedback.
• Troubleshoot recording or annotation issues and suggest improvements.
• Document findings and communicate issues clearly in written and verbal form.

Requirements

Candidates must demonstrate strong Turkish language and audio skills and be able to work independently to deliver precise, consistent results. All required qualifications are listed below and reflect the role’s emphasis on linguistic accuracy and remote reliability.

• Native or near-native fluency in Turkish with exceptional pronunciation and phonetics knowledge.
• Proven skills in audio recording, transcription, and annotation.
• Excellent written and verbal communication with attention to clarity and accuracy.
• Strong attention to detail and sensitivity to linguistic nuance.
• Ability to work remotely and maintain consistent quality on a contractual schedule.
• Willingness to learn AI workflows and data processing requirements.
• Commitment to confidentiality and ethical handling of data.

Preferred experience & how to apply

Preferred but not required: background as an audio engineer, voice actor, podcaster, musician, or prior involvement in linguistic annotation or speech-technology projects. Familiarity with audio recording equipment and common software is a plus.

To apply, prepare examples of transcription or recording work (if available) and be ready to demonstrate Turkish fluency. Follow the application process provided by Micro1 or through the OpenTrain project listing.