Data Analyst I

LexisNexis Risk Solutions; Mumbai, Chennai District; On-site; INR 300,000 - 420,000; Full time

Job summary

LexisNexis Risk Solutions in Mumbai seeks detail-oriented AI Annotators to label and validate datasets used in identity verification, fraud detection, and security applications. You will handle documents, images, and videos, following strict guidelines.

This role emphasizes accuracy on repetitive tasks, collaboration with ML engineers, and clear communication to describe edge cases. Training will be provided on annotation tools and computer vision basics.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Attention to detail

Repetitive tasks

Basic CV/ML concepts

Annotation tools

Clear communication

Tools

Annotation tools

Job description

## Data Analyst IApplylocations: Mumbai: Chennaitime type: Full timeposted on: Posted Todayjob requisition id: R115028**Would you like to be part of a team that delivers high-quality software to our customers?****Are you a visible champion with a ‘can do’ attitude and enthusiasm that inspires others?****About the Business**LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com**About the Team**You’ll join a collaborative engineering team building scalable, high-quality software solutions across backend, frontend, and cloud. The team works closely with cross-functional partners, values knowledge sharing and continuous learning, and encourages everyone to contribute ideas and improvements while balancing technical excellence with delivery.**About the Role**We are seeking detail-oriented **AI Annotators** to support the development of secure and fair identity verification systems. Your work will involve labeling and validating datasets used in document fraud detection, deepfake detection, presentation attack detection (PAD), and face recognition. The annotations you provide will directly improve model accuracy, fairness, and resilience. **Responsibilities:*** 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:*** 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.Learn more about the LexisNexis Risk team and how we work**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.