Video Annotation

micro1; United States; A distancia; USD 21.000 - 34.000; A tiempo parcial

Descripción de la vacante

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

micro1 is engaging Video Annotation experts to contribute to a dynamic customer project focused on high-impact data labeling. In this role, you\'ll apply your expertise to help train next-generation AI systems

Formación

• Experience with video annotation and rubrics.
• Strong written and verbal communication.
• Ability to follow detailed instructions.
• Experience in data annotation projects.
• Proficiency with digital annotation tools.

Responsabilidades

• Carefully review and annotate video content based on project guidelines.
• Apply consistent tagging, labeling, or classification to video segments.
• Document and communicate annotation decisions clearly.
• Utilize annotation tools or platforms and adapt to new interfaces.
• Collaborate with project leads or QA to clarify requirements and refine outputs.
• Submit annotations within milestones, ensuring accuracy and completeness.
• Provide feedback on guidelines or processes to improve quality.

Conocimientos

video annotation

data labeling

digital annotation tools

detail orientation

written verbal communication

Herramientas

Annotation platforms

Descripción del empleo

Pay: $15 - $25/hour

Required Skills

• video annotation
• data labeling
• digital annotation tools
• detail orientation
• written and verbal communication

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Video Annotation

Role Type: Contractor

Location: Remote

micro1 is engaging Video Annotation experts to contribute to a dynamic customer project focused on high-impact data labeling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• Carefully review and annotate video content based on detailed guidelines and rubrics provided for the project.
• Apply consistent tagging, labeling, or classification to video segments, ensuring high precision and adherence to annotation standards.
• Document and communicate annotation decisions effectively through written and verbal channels.
• Utilize annotation tools or platforms, adapting quickly to new interfaces as required by the customer.
• Collaborate with project leads or quality assurance professionals to clarify requirements and refine outputs.
• Submit annotations within agreed-upon milestones, maintaining a focus on accuracy and completeness.
• Provide feedback on guidelines or processes to enhance annotation quality and efficiency.

Preferred Qualifications

• Demonstrated experience with video annotation and a strong understanding of annotation rubrics
• Strong written and verbal communication skills, with an emphasis on clarity and detail orientation.
• Ability to follow detailed instructions and adapt quickly to evolving project requirements.
• Experience working on data annotation, labeling, or similar projects — generalists with relevant experience are welcome.
• Proficiency with digital annotation tools or related software (no video editing experience needed).
• Proactive in seeking clarification and providing constructive feedback on processes.
• Commitment to delivering high-quality, accurate annotations within project timelines.
• Email

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