I will test, evaluate, and label your ai customer service bot responses
About this Gig
Want to ensure your AI customer service chatbot or voice bot behaves perfectly before launching to real customers? I can help!
I have hands-on experience in AI Data Labeling and Human Feedback (RLHF). I specialize in evaluating AI-generated customer support conversations and audio outputs to check for accuracy, tone, compliance, and natural flow.
What I will do for your AI project:
- Chatbot Response Evaluation: Read bot-generated answers to customer inquiries and rank them for helpfulness and truthfulness.
- Tone & Safety Check: Ensure the bot doesnt hallucinate (make up facts) or use inappropriate language.
- Audio Bot Labeling: Listen to AI voice outputs and tag them for pronunciation, accent naturalness, and audio quality.
- Edge Case Testing: Act like an angry or confused customer to see if your AI handles human escalation smoothly.
Why work with me?
- Experienced in training datasets
- Detail-oriented with structured feedback grids
- Fast turnaround and strict data confidentiality
Technique:
Manual
Tagging type:
Text
•
Audio
FAQ
Q: Do you have experience with specific RLHF or labeling platforms?
A: Yes! While I can easily adapt to any custom, proprietary in-house tool or interface your company uses, I am highly comfortable working with standard spreadsheets (Google Sheets/Excel) and structured data-labeling platforms.
Q: How do you ensure accuracy and consistency in your ratings?
A: I strictly follow your project's annotation handbook and grading guidelines. Before starting bulk work, I usually review a small test batch with you to ensure my evaluations perfectly align with your target metrics.
