Hand Landmark Annotation Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors build a unified AI training portfolio while discovering opportunities to apply specialized knowledge to cutting-edge AI systems.

About AI Training Work

AI training is the human side of building artificial intelligence. People prepare and review examples—including annotated images and video—so modern AI models can learn to recognize patterns and produce more reliable results. This fast-growing field offers remote, flexible opportunities for specialists and careful reviewers.

The Role

OpenTrain AI is seeking a Hand Landmark Annotation Specialist to support computer vision training focused on hand landmark annotation. You will work with hand images and video clips, applying structured annotation protocols and clear judgment to help AI systems understand hand positions and movement.

Prior AI training experience is not required unless stated elsewhere in this posting. The key qualifications are relevant knowledge of hand landmark annotation, strong attention to detail, and the ability to apply project instructions consistently.

• Work type: Part-time remote contractor
• Estimated schedule: About 20 hours per week
• Estimated duration: 1–3 months
• Schedule: Flexible
• Pay: $15–$80 per hour
• Estimated project earnings: $2,400–$12,800, depending on schedule and duration

What You'll Do

You will review project materials and model outputs, apply project rubrics, and provide clear written feedback. Consistency is essential: your judgments will help improve model behavior and maintain quality across repeated annotation and review tasks.

• Review hand images, video clips, source materials, and model outputs against project guidelines
• Apply hand landmark and keypoint annotation protocols accurately
• Reason through occluded hand poses and make careful judgments
• Explain decisions clearly in written feedback
• Maintain consistency and quality across repeated review tasks

Requirements

This entry-level opportunity is suited to contributors with relevant professional, academic, or practical expertise in hand landmark annotation. You should be comfortable working independently on remote contractor assignments and following detailed instructions without sacrificing accuracy.

• Knowledge of hand anatomy and biomechanics
• Experience with keypoint or landmark annotation
• Fluency in English
• Strong written communication skills
• Careful attention to detail
• Ability to follow detailed project instructions and apply rubrics consistently
• Ability to reason through occluded hand poses
• Adherence to annotation protocols
• Comfort working independently on remote contractor tasks

Who Should Apply

Apply if you have a strong understanding of hand structure and movement and can translate that knowledge into precise, repeatable annotation decisions. This role may suit specialists, students, researchers, annotators, and other detail-oriented contributors with relevant hand landmark experience.

• Hand anatomy and biomechanics specialists
• Contributors with keypoint annotation experience
• People who enjoy structured visual review and quality-focused work
• Remote professionals seeking flexible, part-time AI training work

How It Works

Create a free OpenTrain account to build your AI training profile and apply in minutes. If selected, you will complete the assigned remote contractor work according to the project guidelines and schedule.

• Create or update your OpenTrain profile
• Highlight your hand anatomy, biomechanics, and landmark annotation experience
• Review the project requirements and apply
• Complete approved tasks remotely on a flexible part-time schedule