Senior Video Annotation Specialist

Senior Video Annotation Specialist – Robotic Arm AI Training

Role Type: Contract

Location: Remote

Payout: 40$-50$/ hour

Engagement: Part-Time / Project-Based

Industry: AI Training / Robotics / Data Annotation

About the Role

We are looking for Video Annotation Professionals to contribute to a confidential AI training project focused on reviewing and annotating video footage of robotic arms performing designated tasks.

In this role, you will use your expertise in video analysis, annotation, and visual data review to help train next-generation AI systems. Your work will directly contribute to improving how AI models understand and interpret robotic movements, actions, task execution, and outcomes.

No prior AI experience is required. Your ability to carefully review visual data, follow detailed guidelines, and make consistent judgments is what matters most.

Key Responsibilities

Review video footage of robotic arms performing assigned tasks.

Identify and evaluate key actions, movements, events, and outcomes within video sessions.

Apply detailed grading and annotation guidelines consistently and accurately.

Use video annotation and data-labeling platforms to record structured observations.

Identify discrepancies, ambiguities, or unusual cases and escalate them when necessary.

Collaborate with project trainers and fellow contributors to maintain annotation consistency.

Document observations and submit completed annotation work according to project standards.

Meet assigned productivity, quality, and project milestones.

Participate in ongoing quality-control reviews and incorporate feedback.

Communicate project progress, challenges, and questions clearly through written and verbal channels.

Maintain a high level of accuracy and consistency across large volumes of video data.

Required Qualifications

Previous experience in video annotation, data labeling, video review, quality assurance, or similar work.

Strong attention to detail and ability to identify subtle differences in visual content.

Ability to understand and consistently apply detailed grading guidelines.

Strong analytical and observational skills.

Excellent written and verbal communication.

Strong time-management and self-organization skills.

Ability to work independently in a remote environment.

Comfortable working with digital tools, annotation platforms, and structured workflows.

Preferred Qualifications

Experience working on AI training or machine-learning data projects.

Experience with robotic systems, robotic arms, automation, or industrial robotics.

Previous experience with video annotation or data-labeling platforms.

Experience reviewing motion, gestures, object interactions, or task execution in video.

Background in computer vision, machine learning, robotics, engineering, or related fields.

Experience working with quality-control or data-validation processes.

Familiarity with interpreting technical instructions and applying rule-based evaluation criteria.

What Makes You a Strong Fit

You may be a strong fit if you have worked as a:

Video Annotation Specialist

Data Annotation Specialist

AI Trainer

AI Data Trainer

Data Labeler

Video Analyst

Quality Analyst

Computer Vision Annotator

Robotics Technician

Robotics Engineer

Automation Specialist

Machine Learning Data Specialist

Content/Visual Quality Reviewer

Ideal Candidate

We are looking for someone who is:

Detail-oriented — able to spot small differences and accurately identify events in video.

Consistent — capable of applying the same grading criteria across hundreds of annotation tasks.

Analytical — comfortable making careful judgments based on defined guidelines.

Self-organized — able to manage workload and deadlines independently.

Technically comfortable — quick to learn new annotation platforms and workflows.

Quality-focused — willing to review work, incorporate feedback, and continuously improve accuracy.

Why This Project

This is an opportunity to work at the intersection of AI, computer vision, and robotics. The annotated data you produce will help improve the ability of next-generation AI systems to understand and evaluate real-world robotic behavior.

No prior AI experience is required — relevant domain expertise and strong analytical skills are what matter most.

If you are intrested you can send you CV:

[Confidential Information]