Visual Data Labeling Specialist

About OpenTrain

OpenTrain AI is hiring contractors for practical AI training and data labeling work. OpenTrain is the #1 platform for finding and building careers in AI training, helping contributors discover projects, build experience, and apply to flexible opportunities in one place.

• Remote contract work with OpenTrain AI
• Free OpenTrain account and streamlined application process
• Opportunity to contribute to the development of computer vision systems

About AI Training and Computer Vision Data

AI training is the human work behind modern artificial intelligence. For computer vision systems, skilled contributors prepare and review labeled images and video so models can learn to recognize objects, understand scenes, and interpret visual information.

• Work directly with image and video datasets
• Use visual annotations to help improve machine learning models
• Build experience in a fast-growing area of technology

The Role

OpenTrain AI is seeking experienced visual data labeling freelancers for a long-term, ongoing project involving computer vision images and video. You will complete several types of annotation, including bounding boxes, classification, polygon annotations, cuboids, object detection, and key points.

The role pays $14 per hour. The expected commitment is approximately 15 to 20 hours per week, with the listing also indicating a 20-plus-hour weekly requirement. You may set your own working hours as long as assigned tasks are completed on time.

• Pay: $14 per hour in USD
• Engagement: Part-time contractor
• Project length: Long-term and ongoing
• Location: The requirements reference the USA and Canada; the listing is specifically configured for the USA
• Language: English

What You'll Do

You will annotate image and video datasets with accuracy and consistency. The work may include a variety of labeling activities, and you will be expected to manage assignments independently while meeting deadlines and maintaining high-quality output.

• Create bounding box annotations
• Classify visual content
• Draw polygon annotations
• Apply cuboid and object detection labels
• Mark points and key points
• Review your work for accuracy and data quality
• Complete assigned tasks on schedule
• Communicate effectively about progress and project needs

Requirements

This opportunity is intended for professionals with substantial hands-on experience in image and video data labeling. You should have a proven record of producing accurate annotations for machine learning datasets and be comfortable working independently on an ongoing project.

• At least 2 to 3 years of hands-on data labeling experience
• Proven experience annotating image and video datasets
• Experience with bounding boxes, classification, polygon annotations, and related tasks
• Familiarity with annotation tools such as Labelbox, CVAT, VGG Image Annotator, or similar software
• High attention to detail and a strong focus on annotation accuracy
• Ability to manage time independently and meet deadlines
• Reliable, consistent performance on long-term projects
• Strong communication skills for collaboration and reporting
• Ability to commit approximately 15 to 20 hours per week
• Location in the USA or Canada as specified in the project requirements
• Ability to propose competitive pricing for ongoing work

Who Should Apply

This role is a strong fit for experienced computer vision data labelers who want steady, consistent contract work and flexibility over when they work. Applicants should be prepared to discuss their specific image and video annotation background during the interview.

• Experienced data labeling freelancers
• Computer vision annotation specialists
• Professionals familiar with online annotation platforms
• Contributors seeking flexible, recurring part-time work
• Applicants who can demonstrate consistent, high-quality visual annotation

How It Works

Create a free OpenTrain account and apply through OpenTrain AI. During the interview, be ready to explain the types of image and video annotation projects you have completed, the tools you have used, and how you maintain accuracy across ongoing assignments.

• Apply through OpenTrain
• Share your relevant visual data labeling experience
• Discuss your availability and proposed competitive rate
• Complete assigned work on a flexible schedule
• Maintain reliable quality and timely delivery