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Data Annotation & Labeling

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Onsite

Data Annotation & Labeling

Snap2insight India

Data Annotation & Labeling

Skills

Machine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹400,000 – ₹425,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


About The Position

As a member of our data annotation team, you will be responsible for labeling data / photos to make it usable for AI training. We are hiring for a fresher data annotator role, where you have completed a Bachelors/Masters degree in 2025 or 2026

Interested candidates MUST apply on Snap2Insight directly using the link below

https://snap2insight.com/about/careers/annotation-data/annotation-analyst

About Snap2Insight

Snap2Insight is a well funded AI company using breakthrough computer vision and machine learning technologies to solve some of the biggest opportunities in the retail sector. We are based out of US/India, and have a vibrant team culture where we learn, accomplish and have fun as a team

Responsibilities:

  • Use proprietary software to tag /annotate elements in images to support state-of-the-art computer vision / AI analysis
  • Manually tag and annotate large volumes of photos to serve as input for machine learning team
  • Identify and analyze any annotation bugs and errors found and document them for review
  • Provide feedback and report bugs and issues regarding the annotation software to the ML team
  • Review machine tagged data from production systems that do not meet quality checks
  • Work in a team environment while meeting individual commitments

Requirements:

  • Basic Computer Skills and familiarity with internet search engines
  • Familiar with office productivity tools like Email, MS-Excel, Google Worksheet, MS Word, Google Docs, etc
  • Good interpersonal and communication skills in English
  • Attention to detail
  • Bachelors or Masters degree in any discipline except engineering (BE / BTech / ME / MTech)
  • Ability to work in a fast-paced environment
  • Should be available to join immediately

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