Role Overview:
This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models
Responsibilities:
Watch short robotic task videos in full before annotating.
Identify the main objective of the robot//'s task as well as the smaller steps it takes.
Summarize what happened in the video, noting whether the task succeeded, partially succeeded, or failed, and highlight any errors or inefficiencies.
Provide timestamped annotations that describe, in detail, each robot movement in the video.
Ensure annotations adhere strictly to structured guidelines to maintain consistency across datasets.
Review and refine 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
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