Why this grade
This listing scored 35/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Video Annotator
Location: Fully Remote Schedule: Full-Time, Remote
Check out The Global Talent Co.’s talent 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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 12 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.