video annotation

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