Data Analyst I

RELX

AI Annotator supporting identity verification systems through data annotation and validation. Collaborating with engineers and scientists to enhance dataset quality and tools.

Posted 7/17/2026full-timeMumbai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data annotation across various formats, including documents, images, video, and audio, while ensuring adherence to project guidelines and quality standards. Proficient in identifying and labeling elements for machine learning applications, with a focus on accuracy and attention to detail.

Highest-signal resume keywords

Data AnnotationAttention To DetailBasic Understanding Of Computer VisionWeb-Based Annotation ToolsClear Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnnotationLabeling Document ElementsBounding Box DrawingFacial Landmark AnnotationTime-Based LabelingImage Tampering DetectionDeepfake DetectionQuality AssuranceEdge Case DocumentationAnnotation Guideline Improvement

Soft Skills

Observational SkillsFocus On Repetitive Tasks

Tools & Technologies

Web-Based Annotation Tools

Industry Keywords

Machine LearningComputer VisionData QualityFace RecognitionPresentation Attack Detection

About the role

Key responsibilities & impact

Data annotation across multiple formats (documents, images, video, audio) following project guidelines.
Identify and label document elements (e.g., names, photos, signatures, holograms) and flag potential tampering.
Annotate manipulated regions in deepfake and image tamper datasets.
Tag liveness indicators and spoof artifacts in PAD datasets.
Draw bounding boxes, facial landmarks, and expression labels for face recognition tasks.
Apply time-based labels in video for frame-level PAD/deepfake detection.
Document edge cases and suggest improvements to annotation guidelines.
Review peer annotations, check consistency, and ensure quality standards.
Collaborate with ML engineers and data scientists to improve dataset quality and tools.

Requirements

What you’ll need

Attention to detail and strong observational skills.
Ability to focus on repetitive tasks while maintaining accuracy.
Basic understanding of computer vision/ML concepts (training provided).
Comfortable using web-based annotation tools (training provided).
Clear written and verbal communication skills to describe edge cases.

Benefits

Comp & perks

country specific benefits