Robotics Annotator Rater (Work From Home)

Innodata Inc.; Mandaue; Teletrabalho; PHP 165 000 - 331 000; Tempo integral

Resumo da oferta

Innodata Inc. is seeking a Robotics Annotator Rater for an AI/LLM project. This 100% remote, project-based role runs from Oct 28, 2026 to Dec 31, 2026 with flexible hours and equipment requirements.

Raters review household-task videos, identify actions, set timestamps, and write clear NLDs following project guidelines. The candidate will review videos, determine actions to include or group, and ensure accurate hand designation and object labeling.

Qualificações

• Must have completed a 4-year college degree.
• Experience with data annotation, AI training, or QA tasks is a plus.
• Good written English and attention to detail required.

Responsabilidades

• Review the full project videos and note relevant content.
• Identify actions to include, exclude or group; assign correct hand designation and object.
• Create concise, clear Natural Language Descriptions (NLDs) following guidelines.
• Review and submit work, incorporating feedback for subsequent tasks.

Conhecimentos

Data annotation

Video evaluation

NLD writing

Formação académica

College degree (4-year)

Descrição da oferta de emprego

We are currently hiring a Robotics Annotator Rater role for an exciting AI/LLM project.

• Engagement Type: Project Based
• Work Arrangement: 100% Remote
• Project Duration: October 28, 2026 - December 31, 2026
• Working Hours: to follow
• Equipment: Must have owndesktop or laptop computer (mobile devices are not supported) and a stable, high-speed internet connection

Raters review household-task videos, identify valid actions, mark accurate start and end timestamps, identify accurate hand designation, and write clear Natural Language Descriptions (NLDs) based on project guidelines. AHT: Up to 60 minutes per job, depending on complexity and video length:

• Review the full video.
• Identify actions to include, exclude, group, or separate.
• Identify the correct object, action, hand designation, and destination when applicable.
• Write concise and grammatically correct NLDs.
• Review work before submission.
• Apply QPE feedback and guideline updates to succeeding tasks.

Qualifications:

• College graduate (any 4-year course)

Preferred Background

• Experience in data annotation, AI training, video/image evaluation, QA, transcription, captioning, or similar guideline-based work is an advantage.