Data Annotation Intern

1 day ago

Chandigarh, Chandigarh, India PaladinAi Full time ₹ 1,50,000 - ₹ 3,00,000 per year

Location:RemoteDepartment:Data Ops TeamEmployment Type:Full-timeAbout the RoleWe are seeking an experiencedVideo Data Annotation Specialistwith strong expertise inforensic video analysisworkflows. 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 withAI-driven video investigation projects, along with a strong command ofannotation tooling, QA processes, and data governance standards.Key Responsibilities·     Performframe-level and sequence-level annotationfor forensic video datasets, including:o  Face and person trackingo  Object and vehicle labelingo  Action taggingo  Scene change detection and event segmentation·     Identify and tagtampering cues, such as missing frames, splices, or compression artifacts.·     Configure and manageannotation tools and pipelines(CVAT, Supervisely, V7, or internal forensic labeling systems).·     Maintain strictdata confidentiality and chain-of-custody documentation.·     Defineannotation guidelinesspecific to forensic evidence handling.·     Conductquality auditsand maintain >95% accuracy and inter-annotator consistency.·     Collaborate with forensic analysts and AI researchers to refine model training datasets.·     Generatesummary reportsof annotated findings for internal documentation and validation.Requirements·     Prior exposure toforensic or investigative video datasets(law enforcement, cybercrime, or lab projects).·     Proficient inCVAT, Label Studio, Supervisely, V7 Darwin,or equivalent tools.·     Understanding ofvideo formats, compression, metadata, and temporal labeling.·     Familiarity withforensic media standards(e.g., chain of custody, evidence preservation).·     Basic scripting knowledge inPython, OpenCV, or FFmpegfor 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 inface or gait analysis datasets, ordeepfake/tampering detectionannotation.·     Exposure toAI-based forensic toolsorML dataset preparationpipelines.·     Prior work in agovernment forensic lab, defense, or digital investigation project.·     Knowledge ofimage forensics metrics(e.g., PRNU, ELA, or compression-based indicators).

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