AI Conversation Recording Contributor
Jobgether
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This role on the market
12 open conversation roles across 9 companies are on ApplySarthi right now.
- Senior Manager, Conversation Design (Product Design)Capitalone
- Manager, Conversation Design, Amazon Customer ServiceAmazon
- Conversation Experience DesignerWonderful
- Conversation Design, Senior AssociateJPMorgan
- Principal Product Manager - Conversation AIGohighlevel
What conversation roles keep asking for: LLMs (67%), Machine learning (33%), Figma (25%), NLP (25%), Agile (17%), CRM (17%), Generative AI (17%), Product management (17%) — counted across their open postings here.
Jobgether has 3,669 open roles listed here.
- Admission Counselor
- AI Automation Engineer
- AI Conversation Recording Contributor
- Application Engr I
- Associate Software QA Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for conversation roles keep coming back to LLMs, Machine learning, Figma, NLP. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the AI Conversation Recording Contributor at Jobgether interview free →Accountabilities: Record and collect natural, spontaneous Zulu speech in accordance with detailed project guidelines. Participate in or capture approved real-life conversations, including workplace discussions and casual one-on-one interactions. Complete individual or two-person conversational recording tasks, as well as voice or voice-text interactions with AI or machine-based systems. Annotate recorded speech data accurately, following the instructions provided. Supply all required information and metadata associated with each recording. Ensure recordings meet the project's quality standards and accurately reflect authentic, everyday language use. Requirements: Native-level fluency in Zulu, with authentic pronunciation and strong familiarity with the language through everyday use. Advanced English proficiency to understand written instructions and project requirements. Ability to follow detailed recording procedures and data annotation guidelines. Strong attention to detail when recording, reviewing, and annotating speech data. Willingness to speak naturally and use your own accent and dialect rather than imitating others. Previous experience in speech recording, linguistic data collection, or annotation projects is an advantage but is not required. Access to a quiet recording space with minimal background noise. A computer with a microphone or a headset with a microphone, a reliable internet connection, and access to an online recording platform. Availability for flexible, task-based freelance work, estimated at approximately 2–4 hours daily. Benefits: Remote work: Complete project tasks from the comfort of your home. Flexible schedule: Organize your work around a task-based schedule, with an estimated commitment of 2–4 hours per day. Competitive hourly rate: Earn USD 8 per hour. Timely payments: Receive reliable payments for completed work. Hands-on AI experience: Contribute to the evaluation and improvement of speech recognition and conversational AI technologies. Future opportunities: Potential access to additional language-related and AI data collection projects. Accessible entry point: Previous experience in AI data collection is not required, making this a valuable opportunity to develop relevant skills.
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Listed on lever · posted 2026-10-28. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.