**Video Annotator**
Vision-Language-Action (VLA) Data Project
**Location:**
[Remote]
**Employment Type:**
[Full-time/ Contract]
**Experience Level:**
Entry to Mid-level
**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 (instructions) 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 — required. Strong command of grammar, vocabulary, and sentence construction is essential, as output quality directly depends on writing clarity.
- 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 (e.g., how-to guides, SOPs, recipes).
- Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).
**What We're Looking For**
- A sharp eye for detail and a passion for precision in written language.
- Someone who can watch an activity and translate it into clear, step-by-step written instructions a person (or a machine) could follow.
- A self-starter who is comfortable with repetitive, focused work and iterative feedback.
**Evaluation / Selection Process**
1. English proficiency assessment (C1 level verification)
2. Annotation skills test (sample video segmentation + step-writing task)
3. Interview / calibration round
4. Onboarding and guideline training
Vision-Language-Action (VLA) Data Project
**Location:**
[Remote]
**Employment Type:**
[Full-time/ Contract]
**Experience Level:**
Entry to Mid-level
**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 (instructions) 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 — required. Strong command of grammar, vocabulary, and sentence construction is essential, as output quality directly depends on writing clarity.
- 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 (e.g., how-to guides, SOPs, recipes).
- Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).
**What We're Looking For**
- A sharp eye for detail and a passion for precision in written language.
- Someone who can watch an activity and translate it into clear, step-by-step written instructions a person (or a machine) could follow.
- A self-starter who is comfortable with repetitive, focused work and iterative feedback.
**Evaluation / Selection Process**
1. English proficiency assessment (C1 level verification)
2. Annotation skills test (sample video segmentation + step-writing task)
3. Interview / calibration round
4. Onboarding and guideline training
