AI Agent QC Bengaluru · Remote · Full time

Ringg AI is a brand under Stoic AI Pvt Ltd.; Bengaluru; Hybrid; INR 400,000 - 600,000; Full time

Job summary

Ringg AI is seeking an Agent QC to audit our AI agents across calls and conversations, identify issues, and build test cases to improve agent quality continuously.

You will review calls, transcripts, and agent actions for accuracy; create and run test cases; track recurring issues and work with Product/Engineering to resolve them; help build quality benchmarks and evaluation processes for our AI agents.

Qualifications

• 1–3 years in data labeling, call auditing, BPO/call centre QA, operations or similar roles.
• Strong attention to detail and ability to spot inconsistencies.
• Good written communication and documentation skills.
• Comfortable working with high volumes of calls/data.
• Basic understanding of QA, testing or test cases.
• Curiosity about AI/LLMs/conversational AI is a bonus.

Responsibilities

• Audit calls, transcripts and agent actions for accuracy and quality.
• Identify and categorise issues, edge cases and failure patterns.
• Create and run test cases for different agent workflows.
• Track recurring issues and work with Product/Engineering to resolve them.
• Help build quality benchmarks and evaluation processes for our AI agents.

Skills

Data labeling

Call auditing

Call centre QA

Operations

Job description

We’re looking for an Agent QC to audit our AI agents across calls and conversations, identify issues, and build test cases to improve agent quality continuously.

What you’ll do

Audit calls, transcripts and agent actions for accuracy and quality

Identify and categorise issues, edge cases and failure patterns

Create and run test cases for different agent workflows

Track recurring issues and work with Product/Engineering to resolve them

Help build quality benchmarks and evaluation processes for our AI agents

What we’re looking for

1–3 years in data labelling, call auditing, BPO/call centre QA, operations, or similar roles

Strong attention to detail and ability to spot inconsistencies

Good written communication and documentation skills

Comfortable working with high volumes of calls/data

Basic understanding of QA, testing or test cases

Curiosity about AI/LLMs/conversational AI is a bonus

The ideal person is detail-obsessed, good at spotting patterns, and enjoys breaking things to figure out what’s wrong.