QA & Operations Associate (Voice AI)
Job Description
Arctic Engines is an enterprise-grade AI human data operations company specializing in high-quality training data, RLHF, and human feedback pipelines for frontier AI models. We are part of the Apna Group, one of India's fastest-growing unicorns, backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners, Peak XV, and others. With native access to Apna's 60M+ workforce, we deliver high-quality training data at unmatched scale and speed.
Role Overview
We are looking for a proactive QA & Operations Associate to support our Voice AI projects. This role combines quality assurance with day-to-day operations management, ensuring high-quality project delivery while coordinating with project teams and managing operational workflows. The ideal candidate should have experience in AI data services, team management, and quality operations.
Employment Type: Full-Time (FTE)
Work Mode: Work fromOffice (Bangalore - Domlur)
Working Days: 6 Days a Week
Compensation: ₹5–6 LPA
Requirements
Key Responsibilities
Perform quality reviews of speech annotation, transcription, and language data deliverables.
Monitor project quality metrics and ensure deliverables meet client expectations and project SLAs.
Coordinate day-to-day project operations, task allocation, and workflow management.
Manage and support a team of annotators, transcribers, and QA resources to achieve productivity and quality targets.
Track team performance, provide feedback, and assist in onboarding and training new team members.
Conduct root cause analysis for quality issues and drive continuous process improvements.
Collaborate with Project Managers, Linguists, and clients to resolve operational and quality-related queries.
Ensure adherence to project guidelines, timelines, and operational processes.
Required Qualifications & Experience
Bachelor's degree
2–4 years of experience in Quality Assurance, Operations, AI data annotation, transcription, or Voice AI projects.
Experience working on ASR (Automatic Speech Recognition), TTS (Text-to-Speech), Speech Annotation, Transcription, or NLP projects is preferred.
Prior experience managing or coordinating teams in a production environment.
Strong analytical, organizational, and stakeholder management skills.
Excellent communication skills with the ability to manage multiple priorities.
Preferred Skills
Experience in workforce planning, task allocation, and productivity tracking.
Familiarity with annotation platforms and quality review tools.
Ability to work in a fast-paced, client-driven environment with a strong focus on quality and operational excellence.
