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
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