Image & Video Annotator — Multimodal Visual Labeling

About OpenTrain AI

OpenTrain AI is the #1 platform for people building careers in AI training and data labeling. We help freelancers discover and track specialized annotation work, build a unified portfolio, and grow into durable careers contributing directly to how AI systems learn.

We hire contractors for a wide range of annotation projects. This listing is for an OpenTrain AI contractor role focused on image and short-video annotation for multimodal models.

About AI training and this project

AI training (also called data labeling or annotation) is the human work that teaches models what real-world content means. Contributors annotate images and video, evaluate AI-generated outputs, and follow detailed guidelines so models learn from consistent, high-quality examples.

This project centers on multimodal visual data: still images and short video clips with accompanying AI-generated outputs that need validation and quality checks.

The Role

As an Image & Video Annotator you will review short video clips and images, identify visual and narrative components, describe scenes and temporal sequences, and label cues such as mood, lighting, relationships, and emotions.

You will also evaluate AI-generated outputs for correctness and relevance, and apply precise annotation guidelines to produce consistent labels used to train multimodal models.

• Position type: Contractor, part-time (20+ hours/week)
• Work location: Fully remote; worldwide applicants welcome
• Experience level: Entry level (prior annotation experience preferred)

What You'll Do

Complete structured annotation tasks for images and short videos following project-specific guidelines. Work independently and maintain consistent quality across batches.

• Label scenes, objects, interactions, emotional cues, lighting, and temporal sequences in images and short clips
• Perform classification and evaluation/rating tasks on visual content and AI-generated outputs
• Validate AI-generated captions, descriptions, or labels for correctness and relevance
• Follow detailed instructions and examples to ensure dataset consistency
• Upload completed annotations and quality checks using basic file tools supplied by the project

Requirements

The role emphasizes careful reading, clear written communication, and consistent application of guidelines. All required skills come from the project details.

• Strong English reading and writing skills
• High attention to detail and ability to follow nuanced instructions
• Analytical thinking about context, intent, and visual storytelling
• Comfort using a computer for uploads and basic annotation tools
• Reliable computer and stable internet connection
• Ability to annotate short videos and images with high accuracy
• Judgment to validate AI-generated outputs for correctness and relevance
• Prior image/video annotation experience preferred but not required

Who Should Apply

This position is a good fit for people who enjoy close visual analysis, describing scenes and actions in clear language, and applying consistent standards to data. It suits freelancers seeking flexible, remote, part-time work that contributes directly to building next-generation AI.

• Detail-oriented communicators who can work independently
• People building a portfolio in AI training or data labeling
• Anyone worldwide who meets the technical requirements and can commit 20+ hours/week

How It Works

OpenTrain AI provides the annotation guidelines, training materials, and structured tasks. You will receive sample tasks and documentation to learn the labeling conventions before starting paid work.

As a contractor, you choose your hours within the project's availability window. The work is tracked through OpenTrain so you can build a centralized record of your AI training contributions.

• Label types: Classification and evaluation/rating for image and short-video content
• Subject matter: Multimodal visual annotation
• Languages: English required
• Time commitment: 20+ hours per week, flexible scheduling