Video Data Annotator

iMerit Technology, an EXL company, is seeking individuals to join their team as Video Data Annotators. This remote opportunity is part of an exciting artificial intelligence (AI) training initiative, where your keen eye for detail will be instrumental in shaping the future of machine learning.

About the Role

This position is focused on meticulously reviewing video footage to identify and label specific elements within. The core of the work involves understanding and applying detailed project guidelines to accurately annotate actions, objects, and events as they appear on screen. While no prior experience in AI is necessary, a strong aptitude for precise observation and a commitment to following instructions are paramount. This role offers a unique chance to contribute to the development of advanced AI systems without needing a technical background.

As a Video Data Annotator, your daily tasks will revolve around the careful examination of video content. You will be responsible for:

• Watching and analysing video clips.
• Precisely identifying and labelling various components, including human actions, objects present, and significant events occurring within the footage.
• Adhering strictly to established project protocols and scoring rubrics to ensure consistency and accuracy in your annotations.
• Meeting predefined benchmarks for both the quality of your work and your overall productivity.
• Identifying and escalating any instances that are unclear or ambiguous, providing constructive feedback to the project management team to help refine the annotation process.

What They're Looking For

iMerit Technology is searching for candidates who possess a natural talent for detailed observation and the ability to maintain focus over extended periods. Ideal candidates will demonstrate:

• Exceptional attention to detail, ensuring that no aspect is overlooked.
• The capability to consistently follow complex and detailed instructions.
• Strong written communication skills, which will be vital for providing feedback and flagging issues.
• A high degree of self-discipline and the ability to work effectively and independently in a remote setting.
• While not mandatory, previous experience in data annotation, quality assurance, or video evaluation would be considered advantageous.

This role is ideal for individuals who enjoy methodical work, have a meticulous approach, and are interested in gaining exposure to the burgeoning field of AI. The ability to work autonomously and communicate effectively about observations will be key to success.

This type of role typically offers entry-level to intermediate remuneration in South Africa, depending on the complexity of the annotation and the specific client project. Common employers in this space include tech companies and data service providers focusing on AI development. Career progression often involves moving into more specialised annotation roles, quality assurance lead positions, or project management within data labelling teams.

• Excellent attention to detail.
• Ability to follow detailed guidelines consistently.
• Strong written communication skills.
• Comfortable working independently.
• Previous annotation, QA, or video evaluation experience is a plus.
• AI experience is not required.