Annotator (English) AI Trainer📣 Job Ad

about 13 hours ago

	Contract Type	Part-time
	Workplace type	Remote
	Location	Saudi Arabia

Job Description

About Mindrift Data Annotation Projects

Mindrift Data Annotation Projects connects specialists with project-based AI opportunities for leading technology companies. These projects focus on testing, evaluating, and improving AI systems. Participation is on a project basis and does not constitute permanent employment.

Role Overview: Annotator (English) AI Trainer

The Annotator (English) AI Trainer role involves contributing to projects that help AI systems interpret information effectively. As an annotator, individuals may be invited to participate in online projects, such as rating AI-generated content, evaluating factual accuracy, or comparing responses, when projects become available. This is a part-time, remote, freelance opportunity based in Saudi Arabia, requiring 0-1 years of experience.

Key Responsibilities

Review provided data, which may include text, images, or videos.
Label or classify content according to specific project guidelines.
Identify and flag material that is factually incorrect, sensitive, inappropriate, or unclear.

Project Engagement Process

Submit an application.
Pass required qualification assessments.
Join an available project.
Complete assigned tasks.
Receive payment for accepted tasks.

Time Commitment and Compensation

Tasks for active projects are estimated to require approximately 10-20 hours per week, based on project requirements. This is an estimate and not a guaranteed workload, applicable only during active project phases. Tasks must be submitted by deadlines and meet acceptance criteria. Compensation is provided per accepted task, with rates dependent on the qualification tier achieved and task efficiency, up to the equivalent of $15 per hour. A faster pace can increase the effective hourly rate, provided quality standards are maintained.

Candidate Profile

This freelance opportunity is suitable for individuals seeking part-time, remote work that can accommodate primary professional or academic commitments. It offers the chance to gain experience in advanced AI projects and influence the development of future AI models.