Video Annotator

Embedded Shishya; Deutschland; Remote; EUR 26.000 - 42.000; Vollzeit

Zusammenfassung

The Global Talent Co. seeks a detail-oriented Video Annotator for a Vision-Language-Action dataset project.

You will watch short video clips of physical tasks and produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the action in each segment. Responsibilities include timing start/end cues, following guidelines, participating in calibrations, and maintaining consistency across annotations while meeting

Qualifikationen

• English proficiency at CEFR C1 level or above.
• Excellent attention to detail and ability to spot subtle changes.
• Strong written communication; describe actions concisely.
• Comfort with video-based annotation tools; training provided.
• Ability to work independently and follow detailed guidelines.
• Reliable internet connection and a computer with a modern browser.
• Basic computer literacy (file handling, web tools, spreadsheets).

Aufgaben

• Watch assigned videos in full to understand task context.
• Segment videos into discrete steps/events based on action boundaries.
• Write concise, precise step-by-step descriptions for each segment.
• Ensure annotations are action-oriented and consistent in tense and phrasing.
• Assign accurate start and end timestamps for each segment.
• Follow project guidelines, taxonomies, and style guides.
• Flag unclear or unsuitable videos for annotation.
• Participate in calibration sessions and apply QA feedback.
• Meet daily/weekly productivity and quality targets without compromising accuracy.
• Maintain confidentiality of project data.

Kenntnisse

English Proficiency

Attention to detail

Written communication

Independent work

Computer literacy

Video annotation tools

Reliable internet

Tools

CVAT

Label Studio

Scale AI

Jobbeschreibung

Video Annotator

Location: Fully Remote Schedule: Full-Time, Remote

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About the Role

We are looking for detail-oriented Video Annotators to support a Vision-Language-Action (VLA) dataset project. In this role, you will watch short video clips of physical tasks/activities and produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the action taking place in each segment.

Key Responsibilities

• Watch assigned videos in full before beginning annotation to understand the overall task and context.
• Segment each video into discrete, logical steps/events based on visible action boundaries.
• Write clear, concise, and grammatically correct step-by-step descriptions for each segment, accurately reflecting what is happening on screen.
• Ensure annotations are action-oriented, unambiguous, and consistent in tense, tone, and phrasing across the dataset.
• Assign accurate start and end timestamps for each segment.
• Follow annotation guidelines, taxonomies, and style guides provided by the project team.
• Flag videos that are unclear, corrupted, mislabeled, or otherwise unsuitable for annotation.
• Participate in calibration sessions and incorporate reviewer/QA feedback to improve annotation quality and consistency.
• Meet daily/weekly productivity and quality targets without compromising accuracy.
• Maintain confidentiality of all project data and materials.

Required Qualifications

• English Proficiency: C1 level (CEFR) or above - strong command of grammar, vocabulary, and sentence construction is essential.
• Excellent attention to detail and ability to spot subtle changes in visual scenes.
• Strong written communication skills; ability to describe actions concisely and precisely.
• Comfort working with video-based tools and annotation software (training provided).
• Ability to work independently, follow detailed guidelines, and maintain consistency over repetitive tasks.
• Reliable internet connection and access to a computer with a modern browser.
• Basic computer literacy (file handling, web-based tools, spreadsheets).

Preferred Qualifications

• Prior experience in data annotation, labeling, transcription, or content moderation.
• Familiarity with AI/ML concepts, especially computer vision, NLP, or robotics datasets.
• Experience writing instructional or procedural content (how-to guides, SOPs, recipes).
• Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).

At The Global Talent Co., our mission is to bridge the gap between leading global brands and amazing global talent. We believe everyone deserves equal access to opportunities, regardless of the country they are born in.