QA Intern: AI Voice Agents (Long-Term 6+ Months)

Luron AI, Inc.; Fatih; On-site; TRY 17,000 - 23,000; Part time

Job summary

Luron is seeking a highly detail-oriented university student to join as a long-term QA Intern. You will work with our QA, Engineering, and Forward Deployed Engineering teams to test AI voice agents before they reach customers.

This hands-on role involves talking to voice agents, running structured test scenarios, identifying failures, and documenting exactly what happened. You will gradually take ownership of QA for specific deployments and customer opportunities.

Qualifications

• University student currently enrolled.
• Available for at least three full days per week.
• Long-term internship, ideally six months or longer.
• Exceptional attention to detail.
• Strong English communication.
• Willingness to take ownership and document clearly.

Responsibilities

• Talk to and test AI voice agents through real conversations.
• Run structured test scenarios for customer deployments.
• Test whether agents correctly understand and respond to users.
• Try different wording, speaking speeds, accents, interruptions and styles.
• Intentionally break conversational flows and identify edge cases.
• Test multilingual agents in languages you speak.
• Identify issues involving conversation logic, understanding, latency, and integrations.
• Document bugs with clear descriptions and reproduction steps.
• Verify fixes and perform regression testing.
• Help maintain test cases, QA checklists, and release criteria.
• Work closely with FDEs and engineers before demos and launches.
• Gradually take ownership of QA for specific customers or deployments.

Skills

Attention to detail

Testing discipline

English communication

Curiosity

Ownership

Documentation skills

Job description

Luron is seeking a highly detail-oriented university student to join as a long-term QA Intern. You will work with our QA, Engineering, and Forward Deployed Engineering teams to test AI voice agents before they reach customers.

This hands-on role involves talking to voice agents, running structured test scenarios, identifying failures, and documenting exactly what happened. You will gradually take ownership of QA for specific deployments and customer opportunities.