Job Description

About Arctic Engines

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.

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.