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Video Annotation Associate

Worklynx Systems Llp

Remote ・ フルタイム

最初に応募しよう

経験
どれでも
給料
INR 9,000 – INR 9,000 / month
求人情報
1
投稿済み
6時間前
作業モード
在宅勤務
教育
12回目のパス
資格
Candidates with a minimum of 12th pass educational qualification and basic computer skills. Freshers are encouraged to apply.
再開する
応募必須

仕事内容

Job Overview

Worklynx Systems LLP is seeking meticulous and committed Video Annotation Associates to join their AI data operations team. This fully remote position involves carefully reviewing and tagging video content to train AI and ML models accurately.

Responsibilities

  • Label and annotate video footage in accordance with project guidelines.
  • Recognize and tag various objects, activities, and events within videos.
  • Maintain high levels of precision and consistency across all annotations.
  • Conduct quality assurance checks and rectify errors in annotations.
  • Achieve daily goals related to productivity and annotation quality.
  • Preserve confidentiality of data and adhere strictly to project instructions.
  • Communicate any issues or inconsistencies to the team lead promptly.

Candidate Requirements

  • Minimum educational qualification: completion of 12th grade or higher.
  • Open to freshers with no prior experience required.
  • Basic computer literacy is essential.
  • Excellent attention to detail with the ability to follow precise instructions.
  • Access to a stable internet connection and a personal laptop or desktop computer.

Skills

  • Basic proficiency with computers.
  • Strong observational and analytical capabilities.
  • Ability to work independently and responsibly.
  • Detail-oriented with a focus on high-quality work.
  • Enthusiasm to learn and adapt to new annotation tools.

Work Details

  • Employment type: Full-time.
  • Working hours: 10:00 AM to 7:00 PM.
  • Work mode: Remote (Work from home).

Compensation and Benefits

  • Fixed monthly salary of 9000 INR.
  • Remote work opportunity providing flexibility.
  • Training provided on video annotation software and workflows.
  • Chance to contribute to cutting-edge AI and machine learning projects.
  • Supportive team environment fostering professional growth.

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