# Project Delivery - Intern

**Company:** [Apna](http://jobs.workable.com/companies/oGcPwdAqKGbezdH7GyyVKX.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Employment type:** Temporary
**Department:** Operations

[Apply for this job](http://jobs.workable.com/view/0cb5a78a-f679-4230-8d84-c6d3fb7a7e7f)

## Description

### 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/](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