Data Annotator

📋 Description

• Annotate conversational data: Transcribe, tag, classify, and annotate conversation datasets using
• Maintain data quality: Apply guidelines with accuracy and attention to detail.
• Support machine learning teams: Deliver structured datasets to improve AI/models.
• Improve annotation workflows: Provide feedback to tools/workflows to boost productivity and quality.
• Monitor conversational systems: Review bot interactions to identify errors and performance issues.
• Generate actionable insights: Translate observations into recommendations for product/ML teams.

🎯 Requirements

• Bachelor’s degree in any field.
• Language skills: Fluency in English and Hindi.
• Communication: Strong written and verbal communication.
• Attention to detail: Highly detail-oriented with pattern recognition.
• Analytical ability: Strong organizational and analytical skills to interpret data.
• Learning mindset: Curious about NLP, ML, conversational AI, and data roles.

🎁 Benefits

• Hands-on exposure to AI, ML, NLP, and conversational tech.
• Direct collaboration with product and ML teams.
• Opportunity to contribute to AI models and products via high-quality data.
• Exposure to conversational AI performance analysis and data-driven product improvement.
• Develop practical skills in data annotation, quality assessment, and AI operations.
• Fast-paced environment with growth opportunities with experienced tech professionals.