video annotation
4 weeks ago
About Client :
Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.
Job Title: Video Annotation
Location: Remote
Experience: 3+ years
Employment Type: Contract to hire
Notice Period: Immediate joiners
Roles&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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