AI Trainer - Video Annotation

iMerit Technology, which is now a member of the EXL group, is seeking detail-oriented individuals to join their global team as AI Trainers focused on video annotation. This role is central to the company’s efforts in developing robust AI models for robotics, helping machines perceive and navigate the world more effectively. If you possess a keen eye for detail and can follow precise procedural guidelines, this position offers a unique entry point into the rapidly expanding field of machine learning and data preparation.

About the role

As an AI Trainer, your primary objective is to transform raw visual data into structured, meaningful information that AI systems can process. You will be responsible for reviewing video content and applying labels or annotations that define objects, actions, and specific events within those clips. Because these annotations serve as the "ground truth" for robotics projects, the quality of your work directly impacts the success of the intelligent systems being built.

This is a remote position that operates on a global scale. It is highly suitable for those who enjoy structured tasks, possess strong analytical capabilities, and prefer working independently. You will be expected to internalize complex guidelines and apply them with high levels of consistency throughout your workflow.

What you’ll do

The core of the daily operation involves systematic video analysis. Your workflow will typically include the following responsibilities:

• **Video Annotation:** Marking up short video clips to identify specific items, human actions, or distinct environmental events.
• **Quality Assurance:** Evaluating video segments to ensure they meet the project's strict quality and relevance standards.
• **Movement Assessment:** Analyzing the clarity and plausibility of movements within the video to ensure the AI learns realistic behavioral patterns.
• **Adherence to Guidelines:** Strictly following established protocols to maintain high accuracy and consistency across large datasets.
• **Problem Identification:** Proactively flagging any quality issues or inconsistencies that could potentially hamper the learning process of the AI model.

What they’re looking for

iMerit does not require candidates to have a background in robotics or computer science. Instead, the focus is on your cognitive aptitude and your ability to execute tasks with precision. Successful applicants usually possess the following traits:

• **Analytical Rigour:** You must be able to view complex scenes and break them down into objective data points.
• **High Attention to Detail:** Small discrepancies in annotation can lead to errors in AI training, so a meticulous approach is non-negotiable.
• **Communication Skills:** Proficiency in written English is required, as all instructions and quality guidelines are provided in English.
• **Independent Work Ethic:** As a remote professional, you should be comfortable managing your time and fulfilling duties without constant oversight.
• **Consistency:** The ability to apply the same standard to the 100th clip as you did to the first is vital.

For South African applicants, roles within the data annotation and AI training sector typically offer an accessible path into the global tech ecosystem. While salary packages in this sector can vary significantly depending on the volume of work and the specific contractual agreement, these positions are often sought after for their flexible, remote nature and the opportunity to gain experience with international firms like EXL/iMerit. Growth in this field usually leads to roles in quality management, project coordination, or data analysis, providing a stable foundation for a career in the broader AI industry.

• Strong attention to detail and analytical thinking.
• Strong written English and the ability to follow detailed instructions independently.
• A commitment to accuracy and consistency.
• No previous AI or robotics experience required.