Log in
Top pay

Video Annotator

The Global Talent Co. · company site15d

1 · Can you apply from ?

Not open

The ad doesn’t say — see the full posting.

2 · What reaches you

Pay not listed
The ad gives no pay, so we can’t work out what reaches you. Ask the company.

3 · How you get paid

Unknown — ask the company

How often
Unknown
Ask the company
First money
Unknown
Ask the company

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company site · found 26 Sep 2026
No one should ask you to pay to work.
Report this post

They ask for

No experienceNo degreeEnglish C1+Data annotationNatural language processingComputer vision

Full description

Shown as posted, in English

VIDEO ANNOTATOR Location: Fully Remote Schedule: Full-Time, Remote Check out The Global Talent Co.’s talent network: https://www.globaltalent.co/network 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.

Apply on the company site
Top pay
JobThe Global Talent Co. · company sitePosted 15d ago

Video Annotator

1 · Can you apply from ?

Not open

The ad doesn’t say — see the full posting.

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company siteFound 26 Sep 2026
No one should ask you to pay to work.
Something wrong?Report this post

They ask for

Full description

Shown as posted, in English

VIDEO ANNOTATOR Location: Fully Remote Schedule: Full-Time, Remote Check out The Global Talent Co.’s talent network: https://www.globaltalent.co/network 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.