Arabic-Speaking Image Evaluation Annotator

You will create evaluation materials that test whether AI systems can identify and reason about partially hidden real-world images. Your work will focus on regionally relevant places, products, and domestic film or media, using visual clues that require more than one step of research.

You will combine image sourcing, visual editing, web investigation, prompt writing, grading rubric design, and evidence-based documentation.

• Find high-quality photographs of local landmarks, universities, municipal buildings, products, and domestic film or media.
• Check that each image is original, publicly available, copyright-free, or explicitly licensed, and record its license type and source history.
• Use Google Search, Google Lens, reverse image search, and other reliable sources to identify subjects from incomplete visual clues.
• Create cropped, masked, hidden, or degraded versions of images while keeping realistic secondary clues visible.
• Write time-bound prompts in English without revealing the target identity or answer.
• Create concise, objective grading criteria and solution notes covering the verified identity, research process, evidence, and expected outcome.

What It Pays and Takes

This is a contract, part-time role. The listing does not specify a pay rate.

• Time requirement: 20 or more hours per week.
• Location: Worldwide.
• Language: Highly fluent Arabic and strong working English.
• Experience level: Entry level.
• You must be able to write English prompts, rubrics, and solution notes.
• You should know regionally significant, non-touristy local landmarks, universities, municipal buildings, and domestic film or media.
• You should be comfortable investigating incomplete visual information and verifying image licensing, copyright, and provenance.
• You need basic skill with cropping, masking, obscuring, or annotating images while preserving realistic visual clues.
• Careful judgment is required when writing objective evaluation criteria without exposing answers.
• A bachelor's degree or equivalent practical experience is welcome but not required.
• Experience in AI evaluation, data annotation, content review, quality assurance, or related analytical work is helpful but not required.
• Familiarity with Photoshop, shared Google Drive folders, file naming conventions, and structured submissions is useful.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind systems that understand images and language. Contributors prepare examples, write tests, and check model answers so AI can handle real-world information more accurately.