Detail-Oriented Robotics Task Annotation Specialist

6 days ago

Cochin, Kerala, India beBeeData Full time ₹ 8,00,000 - ₹ 12,00,000

About People Prime Worldwide:

We are a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, we have been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

We are committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

We provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Description:

As a Data Annotator at People Prime Worldwide, your day-to-day tasks will involve:

  • Watching short robotic task videos in full before annotating.
  • Identifying the main objective of the robot's task as well as the smaller steps it takes.
  • Summarizing what happened in the video, noting whether the task succeeded, partially succeeded, or failed, and highlighting any errors or inefficiencies.
  • Providing timestamped annotations that describe, in detail, each robot movement in the video.
  • Ensuring annotations adhere strictly to structured guidelines to maintain consistency across datasets.
  • Reviewing and refining annotations based on feedback to improve accuracy and clarity.

Requirements:

  • Strong attention to detail and ability to follow structured guidelines.
  • Clear written communication skills in English.
  • Comfort with repetitive, precision-focused work.
  • Ability to differentiate between successful, partial, and failed task execution.
  • Prior experience in data annotation, transcription, or quality assurance is a plus but not required.
  • 2 years of experience or more with technical background in any programming language

What Success Looks Like:

  • Delivering consistent, accurate annotations across tasks.
  • Capturing both the "what" (intent and actions) and the "how" (quality of execution) of robot tasks.
  • Contributing to a gold-standard dataset that supports robotics and AI training.

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