QA Analyst - Automated Voice Operations


Location: Remote

Job Type: Full-Time



To Apply - No resume required. Send us a 3-minute video with the fo

llowing :


1. Who are you and what excites you about tech or product?

2. Why do you think you'd be a good QA for a product like ours?

3. Tell us about one time you spotted a problem others missed.

4. What's one thing you'd love to learn if you join us?


Upload it to Google Drive / Loom / YouTube (unlisted) and share the link.



Company Overview


We’re not building “yet another voice AI.”


At Intelekt, we’re powering automated voice operations for India’s largest enterprises — resolving service issues, collecting field data, and handling customer interactions *through intelligent voice agents that actually execute*.


We’re looking for someone who can spot bugs before users do, stress-test systems under pressure, and bring a detective mindset to every test case.


This role isn't for you if:


  • You want layers of hierarchy or bloated teams
  • You need a big budget and hand-holding
  • You think QA is just ticking test cases


But if you're someone who:


  • Obsessively looks for edge cases
  • Wants to own product quality end-to-end
  • Thrives on real-world usage and feedback

…then you’ll thrive here.


We move fast, we back each other, and we ship to production — daily.



Website: www.getintelekt.ai


Linkedin: www.linkedin.com/get-intelekt-ai




What You’ll Own


1. Voice Interaction Testing


  • Manually test live AI calls for clarity, logic, and performance
  • Run test scenarios to catch edge cases, voice glitches, and UX breakdowns
  • Flag false positives/negatives in speech recognition and language comprehension


2. Analytics & System Accuracy


  • Monitor performance KPIs: CSAT, AHT, NPS, FCR, voice intent success
  • Audit transcripts and system logs to improve call accuracy and reduce noise
  • Spot data inconsistencies, identify bugs, and trace root causes fast


3. Test Design & Execution


  • Build and maintain test cases for new features and speech workflows
  • Simulate real-world voice interactions across languages, accents, and conditions
  • Stress test systems before major rollouts


4. Communication & Feedback Loops


  • Act as the QA nerve center between Dev, Product, and Client teams
  • Present weekly insights, failure summaries, and improvement recos
  • Support clients directly on critical QA issues and track feedback to closure


5. Reporting & Documentation


  • Own all QA documentation — from test cases to bug logs to trend reports
  • Maintain traceability across deployments, system health, and voice updates
  • Tie voice agent performance to real ROI metrics for enterprise clients



You’ll Thrive If You’re…


  • Razor-sharp with details — nothing slips past you
  • Obsessed with clean logic and real-world accuracy
  • Clear and crisp in communication — verbal + written
  • Curious about how humans talk and machines listen
  • Always one step ahead — proactively preventing issues, not reacting to them
  • Collaborative and low-ego — you love shipping great work as a team



Bonus Skills (Not Mandatory, But Awesome to Have)


  • Experience with speech analytics, contact center QA, or telecom systems
  • Exposure to GenAI prompt evaluation or NLP testing
  • Prior experience in a fast-moving startup or voice-led product environment



What You’ll Get


  • A front-row seat to the next wave of conversational AI with leading orgs
  • Full ownership
  • Real impact on enterprise deployments and product roadmap
  • A curious, driven, no-BS team that backs each other up
  • Weekly 1:1s to learn product/tech/systems
  • Real involvement in roadmaps and client calls



Preferred Qualifications


  • Experience with speech analytics platforms and voice systems
  • Background in telecommunications, contact centers, or voice systems
  • Familiarity with API testing and automation tools
  • Experience with data analysis, visualization tools, and business intelligence platforms
  • Knowledge of GenAI prompts for query building and automated scoring
  • Previous experience in fast-paced startup environments
  • Experience with automated QA processes and speech-based evaluation systems