Chemin, TDCX's AI-focused subsidiary, is opening up a new gigwork opportunity for individuals who want to earn more while contributing to cutting-edge AI projects.
Local
Ceará - CE
Remoto
Responsabilidades
- Deliver high-quality transcriptions of audio clips with minimal revisions
- Segment spoken content into distinct, meaningful components
- Identify and label speakers and their accents accurately
- Communicate effectively with Project Managers on challenges, questions, or feedback
- Meet key deadlines while maintaining quality and consistency
Requisitos
- Moderate English fluency (B2 level or higher) to handle diverse accents
- Excellent listening skills and good comprehension of written texts.
- A laptop or desktop computer with a stable internet connection
- Precision, consistency, and attention to detail
- A growth mindset with the ability to learn quickly and adapt to project requirements
- Efficient time management to deliver consistent output
- Fluency in Portuguese (Brazilian Accents) is a plus
- Prior experience in transcription or data annotation projects is a plus
- Academic background in any STEM, Social Sciences, Psychology, Linguistics, Humanities, or similar fields is a plus
Diferenciais
- Add a flexible side hustle to your existing commitments
- Earn up to 3 USD per accepted task!
- Gain hands-on experience in the fast-growing AI industry
- Be part of Chemin, TDCX's fast-growing AI subsidiary, and work on projects that shape the future
Benefícios
- Flexible side hustle
- Earn up to 3 USD per accepted task!
Faixa salarial
No cap on earnings. The more you complete, the more you earn!
Carga horária
This is a fully remote, gig-based project with flexibility in when you work. To ensure project goals are met, we are looking for annotators who can commit full working days (around 8 hours daily, including some weekends) during the project period.
Tipo de contrato
This is a fully remote, gig-based project.
Sobre a empresa
We partner with leading global companies to power next-generation AI solutions.
About the Role As a Data Annotator, you will listen to short audio clips and complete three core tasks: Segment: Divide the audio based on different speakers Tag: Identify the language and accent of the speaker(s) Transcribe: Convert spoken English into written text Your work will directly improve the accuracy of AI models, helping build smarter, real-world solutions.
Working Arrangements
- This is a fully remote, gig-based project with flexibility in when you work.
- To ensure project goals are met, we are looking for annotators who can commit full working days (around 8 hours daily, including some weekends) during the project period.
- The more time you dedicate, the faster you learn, the more tasks you can complete, and the higher your earnings will be.
- Consistency is key to success!
- The project runs from December 2025 to January 2026!