Video Data Annotation - Intern

Video Data Annotation Specialist – Forensic Analysis

Location: India (Remote )
Experience Level: 0-1 year
Department: Data Ops Team

About the Role

We are seeking an experienced Video Data Annotation Specialist with strong expertise in forensic video analysis workflows. The role involves detailed annotation and metadata tagging of sensitive forensic video datasets involving facial regions, actions, identities, tampering indicators, and other evidentiary details.

The ideal candidate will have experience working with AI-driven video investigation projects, along with a strong command of annotation tooling, QA processes, and data governance standards.

Key Responsibilities

• Perform frame-level and sequence-level annotation for forensic video datasets, including:
• Face and person tracking
• Object and vehicle labeling
• Action tagging
• Scene change detection and event segmentation
• Identify and tag tampering cues, such as missing frames, splices, or compression artifacts.
• Configure and manage annotation tools and pipelines (CVAT, Supervisely, V7, or internal forensic labeling systems).
• Maintain strict data confidentiality and chain-of-custody documentation.
• Define annotation guidelines specific to forensic evidence handling.
• Conduct quality audits and maintain >95% accuracy and inter-annotator consistency.
• Collaborate with forensic analysts and AI researchers to refine model training datasets.
• Generate summary reports of annotated findings for internal documentation and validation.

Requirements

• Prior exposure to forensic or investigative video datasets (law enforcement, cybercrime, or lab projects).
• Proficient in CVAT, Label Studio, Supervisely, V7 Darwin, or equivalent tools.
• Understanding of video formats, compression, metadata, and temporal labeling.
• Familiarity with forensic media standards (e.g., chain of custody, evidence preservation).
• Basic scripting knowledge in Python, OpenCV, or FFmpeg for preprocessing and frame extraction.
• Excellent attention to visual and temporal details; high data accuracy tolerance.
• Ability to work under confidentiality protocols and handle sensitive evidence.

Preferred Qualifications

• Experience in face or gait analysis datasets, or deepfake/tampering detection annotation.
• Exposure to AI-based forensic tools or ML dataset preparation pipelines.
• Prior work in a government forensic lab, defense, or digital investigation project.
• Knowledge of image forensics metrics (e.g., PRNU, ELA, or compression-based indicators).

Job Type: Full-time

Pay: ₹170,488.09 - ₹983,085.40 per year

Work Location: In person