Data Annotation Specialist

Paladintech; Chandigarh; On-site; INR 400,000 - 600,000; Full time

Job summary

A technology company in Chandigarh is seeking a detail-oriented Data Annotation Specialist. In this role, you will review, label, and annotate datasets to enhance the quality of training data for AI/ML initiatives. You will collaborate with engineers and conduct quality checks on annotations. The ideal candidate has strong attention to detail, good communication skills, and a willingness to learn about AI/ML. This position offers opportunities for growth in quality control or project coordination.

Qualifications

• Strong attention to detail and ability to follow complex instructions.
• Good written and verbal communication skills in English.
• Comfortable working with computers and annotation platforms.
• Ability to maintain focus while working on repetitive tasks.
• Willingness to learn about AI/ML and its role in intelligent systems.

Responsibilities

• Perform data labeling and annotation tasks with high accuracy.
• Collaborate with engineers to understand annotation requirements.
• Conduct quality checks on completed annotations.

Skills

Attention to detail

Good written and verbal communication

Familiarity with annotation tools

Tools

Label Studio

Prodigy

Scale

SuperAnnotate

Job description

Chandigarh, India | Posted on 10/25/2025

At Paladin Tech, we build AI-powered products that transform complex data into actionable insights. Our portfolio includes solutions for deepfake detection, video and image analytics, big data intelligence, AI assistants, and real-time decision support systems. We help organizations enhance security, verify authenticity, optimize operations, and drive measurable results through cutting-edge AI, ML, and Big Data Analytics.

Summary

We are looking for a detail-oriented Data Annotation Specialist to support our machine learning initiatives. In this role, you will review, label, and annotate datasets (text, images, audio, or video), ensuring accuracy and consistency. You’ll work closely with the AI/ML engineering team to improve the quality of training data and contribute directly to building smarter, more reliable models.

Requirements

• Perform data labeling and annotation tasks with high accuracy and attention to detail.
• Follow defined annotation guidelines and continuously provide feedback to improve them.
• Identify inconsistencies, errors, and edge cases in datasets and elevate issues when needed.
• Ensure timely delivery of annotation tasks while maintaining high quality.
• Collaborate with engineers and researchers to understand annotation requirements and update workflows accordingly.
• Contribute to maintaining annotation tools and suggesting process improvements.
• Conduct quality checks on completed annotations to ensure consistency across the dataset.

Minimum Qualifications

• Strong attention to detail and ability to follow complex instructions.
• Good written and verbal communication skills in English.
• Comfortable working with computers, web tools, and annotation platforms.
• Ability to maintain focus and accuracy while working on repetitive tasks.
• Willingness to learn about AI/ML and the role of annotation in building intelligent systems.

Preferred Qualifications

• Prior experience in data labeling, content moderation, or similar roles.
• Familiarity with annotation tools (e.g., Label Studio, Prodigy, Scale, SuperAnnotate, or similar).
• Understanding of data privacy and handling sensitive content.
• Background in linguistics, computer science, or related field is a plus.
• Opportunity to contribute directly to cutting-edge AI projects.
• Exposure to real-world AI/ML workflows and tools.
• Growth path to move into quality control, project coordination, or AI/ML support roles.
• A collaborative and learning-oriented environment.
• Conduct quality checks on completed annotations to ensure consistency across the dataset.