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
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Leverage AI to create QC tools and workflows
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Identify open-source or economical AI softwares for annotation and data recording
Quality Control
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Run sample-based and 100% QC audits as per project tier
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Track inter-annotator agreement (IAA), accuracy, and rework rates
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Maintain error logs and feedback loops with annotators
SOP & Process Building
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Translate client guidelines into annotator-friendly SOPs with edge cases and visual examples
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Build playbooks for onboarding, escalation, and delivery
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Identify automation/tooling opportunities to reduce TAT
Gig Workforce & Training
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System driven (AI) for workforce management
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Source, screen, and onboard digital gig annotators across India
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Run paid pilot/qualification tests before deployment
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Deliver training, calibration sessions, and refreshers
Community Building
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Manage gig workforce on WhatsApp/Discord/Telegram channels
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Drive engagement, retention, and grievance resolution
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Build leaderboards, recognition, and tiering systems
Project Delivery & SLA
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Track daily throughput, accuracy, and utilization vs. SLA
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Flag risks early; jump into annotation tasks personally when ramp-up lags
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Coordinate with PMs and client SPOCs on delivery status
Must-Haves
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Bachelor's (final year) or fresh graduate — any stream
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Strong English written communication
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Detail-oriented with high ownership; comfortable with ambiguity and using AI
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Hindi + 1 regional language preferred: Tamil, Telugu, Urdu, Malayalam, Marathi, or Odia
Good-to-Have
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Exposure to CVAT, Label Studio, LabelBox, V7, or similar tools
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Prior experience in BPO/KPO, content moderation, or community management
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Basic understanding of ML/AI data pipelines
