Project Delivery - Intern

About this role

About Arctic Engines A new evaluation business unit under Apna Group, focusing on RLHF, Audio and video annotation and physical AI. Visit us here for more information https://www.arcticengines.ai/ About the Role Arctic Engines is hiring 3 Project Delivery Interns to drive end-to-end execution of data annotation projects. You will own quality, build our gig annotator community, create SOPs, train workforce, and ensure SLA delivery — with hands-on annotation work whenever production demands it. What You'll Do AI Evangelist in project delivery Leverage AI to create QC tools and workflows Identify open-source or economical AI softwares for annotation and data recording Quality Control Run sample-based and 100% QC audits as per project tier Track inter-annotator agreement (IAA), accuracy, and rework rates Maintain error logs and feedback loops with annotators SOP & Process Building Translate client guidelines into annotator-friendly SOPs with edge cases and visual examples Build playbooks for onboarding, escalation, and delivery Identify automation/tooling opportunities to reduce TAT Gig Workforce & Training System driven (AI) for workforce management Source, screen, and onboard digital gig annotators across India Run paid pilot/qualification tests before deployment Deliver training, calibration sessions, and refreshers Community Building Manage gig workforce on WhatsApp/Discord/Telegram channels Drive engagement, retention, and grievance resolution Build leaderboards, recognition, and tiering systems Project Delivery & SLA Track daily throughput, accuracy, and utilization vs. SLA Flag risks early; jump into annotation tasks personally when ramp-up lags Coordinate with PMs and client SPOCs on delivery status Must-Haves Bachelor's (final year) or fresh graduate — any stream Strong English written communication Detail-oriented with high ownership; comfortable with ambiguity and using AI Hindi + 1 regional language preferred: Tamil, Telugu, Urdu, Malayalam, Marathi, or Odia Good-to-Have Exposure to CVAT, Label Studio, LabelBox, V7, or similar tools Prior experience in BPO/KPO, content moderation, or community management Basic understanding of ML/AI data pipelines