Job Description

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