Project Epsilon Arabic Data Trainer📣 Job Ad

About Welocalize and Project Epsilon

Welocalize is seeking a Project Epsilon - Arabic Data Trainer to contribute to an artificial intelligence (AI) data annotation initiative. This role is integral to enhancing AI capabilities through precise data review and annotation, supporting the development of advanced systems.

Role Overview: Arabic Data Trainer

The Arabic Data Trainer will be responsible for reviewing pre-seeded questions paired with images and providing accurate "golden" answers based on visual observations. This is a task-based, full-time opportunity, suitable for individuals with 0-1 years of experience who possess a meticulous approach and the ability to consistently follow detailed instructions.

Key Responsibilities

• Review pre-seeded questions along with accompanying images, such as identifying specific details from visual content.
• Examine image content thoroughly to extract relevant details necessary for accurate question resolution.
• Formulate clear and precise "golden" answers, relying exclusively on the visual information provided in the image.
• Identify and flag any images that are unclear, corrupted, or insufficient for answering the given question.
• Ensure high levels of consistency and quality across all assigned tasks within a batch.
• Adhere strictly to all project-specific guidelines and rubrics as communicated by the project team.

Candidate Profile and Requirements

Candidates for this role should demonstrate a strong attention to detail and the capacity to follow complex instructions accurately. The primary requirement for this position is:

• Reliable access to a personal computer and a stable internet connection.

Work Environment

This is a full-time, remote-friendly position, offering flexibility for qualified individuals to work from various locations. The role is task-based, emphasizing individual contribution to project goals.

Application Process

Interested candidates are encouraged to apply to join the Welocalize team for Project Epsilon and contribute to this data annotation initiative.