Video Annotator - Poland

CNTXT AI; Ząbki; Remote; PLN 93,000 - 186,000; Full time

Job summary

CNTXT AI is seeking detail-oriented Video Annotators to support a Vision-Language-Action (VLA) 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 instructions describing the action in each segment.

You must have English proficiency at CEFR C1 or above, excellent attention to detail, and strong written communication.

Qualifications

• English proficiency at CEFR C1 or higher, with strong grammar and vocabulary.
• Excellent attention to detail and ability to spot subtle changes in visual scenes.
• Strong written communication; describe actions concisely and precisely.
• Comfort using video annotation tools; training provided.

Responsibilities

• Watch videos in full to understand task context.
• Segment videos into discrete steps based on action boundaries.
• Write clear, concise 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 guidelines and flag unclear videos.
• Participate in calibration and QA feedback to improve quality.
• Meet productivity and quality targets.
• Maintain confidentiality of project data.

Skills

English proficiency

Attention to detail

Written communication

Independent work

Basic computer literacy

Tools

CVAT

Label Studio

Scale

Job description

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