Data Annotator

Earn up to 5 LPA as a Data Annotator at SysTechCorp Inc! Remote work and career growth. Apply now 

Data Annotator: SysTechCorp Inc provides leading-edge technology services that empower our clients to meet and exceed their strategic business objectives. Our AI, ML, Mobile, Cloud, and ERP practice is backed by years of experience and deep domain expertise in a wide range of industry verticals.

Data Annotator

Delivering right solutions to the real problems in IT consulting


Job Title: Data Annotator

Location: India

Job Type: Full Time


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About the job

Role: Data Annotator – With Gen AI only

Location: Bangalore

Experience: 2 Years

Package: 3LPA fixed

Notice Period: Only 15-30days

Work Mode: Day Shift Work From Office Only

Data Annotator

Job Summary:

We are looking for a skilled Data Annotator to join our team and contribute to cutting-edge machine learning and AI projects. The ideal candidate will have hands-on experience annotating various data formats including text, images, videos, and 3D lidar data. Your work will play a critical role in training high-performance AI models across different domains.

Key Responsibilities:

  • Perform data annotation tasks on text, image, and video datasets using annotation tools per project guidelines.
  • Accurately annotate and label data using techniques like bounding boxes, segmentation, keypoint labeling, and more.
  • Work on 3D lidar data annotation tasks, using tools such as bounding boxes, cuboids and polygons to identify objects in 3D space.
  • Review and validate annotated data to ensure accuracy, consistency, and completeness.
  • Collaborate closely with data scientists and machine learning engineers to deliver high-quality training data.
  • Maintain detailed records of annotations and revisions for tracking and documentation purposes.
  • Keep up-to-date with the latest annotation tools and methodologies to enhance work quality and efficiency.
  • Report any data quality issues or tool-related challenges to the project leads in a timely manner.
  • Meet project deadlines by ensuring timely delivery of assigned annotation tasks.

Requirements:

  • Team player with the ability to work collaboratively and independently in a fast-paced environment.
  • Minimum 2+ years of hands-on experience in data annotation across image, video, and/or text datasets.
  • Should have completed graduation with any degree with strong communication skills in English (reading, writing and speaking)
  • Strong proficiency with annotation techniques like interpolation and object tracking. Experience working on complex annotation tasks including 3D lidar labeling.
  • Solid understanding of various annotation techniques: bounding boxes, segmentation, polygonal labeling, keypoint annotation, etc.
  • Ability to follow complex project guidelines with a high level of attention to detail.
    Freshers seeking a foot in the door to AI/tech.
Data Annotator

About SysTechCorp Inc
SysTechCorp Inc is a leading innovator in AI-driven data solutions, specializing in machine learning, computer vision, and NLP technologies. We partner with global tech giants to build smarter AI models by delivering high-quality annotated datasets. Our remote-first culture empowers employees worldwide with flexible work, competitive salaries, and career growth in the fast-evolving AI industry.

Why Join Us?
✔ 5 LPA Starting Salary – Earn a competitive package for entry-level roles.
✔ 100% Remote Work – Work from anywhere with flexible hours.
✔ Skill Development – Gain hands-on experience in AI/ML data pipelines.
✔ Impactful Work – Contribute to cutting-edge AI advancements.

Apply now to join the AI revolution!


How to Apply:

Please submit your resume and cover letter through Submit Resume to apply for this position.

Apply Here

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Job Search FAQs

  1. Q: What does a Data Annotator do?

    A: A Data Annotator labels and categorizes data (images, text, videos) to train AI models.

  2. Q: Is this Data Annotator job remote?

    A: Yes! SysTechCorp Inc offers fully remote roles with flexible hours.

DevOps Job Update

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