About Turing:

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:

We are seeking Arabic-speaking photographers and annotators to create evaluation materials using cropped, occluded, or degraded images of authentic real-world places, products, and media. These images should require multimodal agents to conduct multi-step web research using tools such as Google Search, Google Lens, or reverse image search before accurately generating or restoring missing content.

Annotators will source real, verifiably licensed photographs, obscure key identifying details, and prepare a complete deliverable package—including prompts, grading rubrics, and solution notes—for each instance.

Job responsibilities:

Source authentic, high-quality photographs of real-world places, products, and media relevant to the assigned locale.
Verify that each image is copyright-free, publicly available, explicitly licensed, or original, and document its license type and provenance.
Conduct multi-step research using Google Search, Google Lens, reverse image search, and other reliable sources to identify and verify image subjects.
Create cropped, occluded, masked, or degraded image versions that conceal key identifying details while preserving realistic visual clues.
Develop clear, time-bound prompts in English without revealing the target identity or answer.
Prepare concise, objective, one-sentence grading criteria for each evaluation instance.
Write solution notes documenting the ground-truth identity, research process, supporting evidence, and expected outcome.

Key Qualifications:

Language: Native or highly fluent in Arabic, with strong working proficiency in English. All prompts, rubrics, and solution notes must be written in English.
Local cultural knowledge: Strong familiarity with regionally significant but non-touristy landmarks, universities, municipal buildings, and domestic film and media within the assigned locale. This is a critical requirement.
Research skills: Comfortable conducting iterative, multi-step investigative research using Google Search, Google Lens, and reverse image search to verify a ground-truth subject from partial visual clues.
Image sourcing and copyright literacy: Able to source and verify copyright-free or explicitly licensed imagery from platforms such as Wikimedia Commons, Smithsonian Open Access, Creative Commons, and public-domain collections, or use original photography. Candidates must be able to document the license type and image provenance.
Basic image-editing skills: Able to crop, mask, or otherwise obscure source images—or create annotated crop and mask overlays—while preserving realistic, non-hallucinated secondary visual clues.
Attention to detail: Able to write concise, objective, one-sentence rubric criteria and appropriately time-bound prompts without revealing the target identity in generative or text-based prompts.
Tool proficiency: Comfortable working with shared Google Drive folders, file-naming conventions, and structured deliverable submissions.

Education and Experience:

Bachelor's degree or equivalent practical experience in any field.
Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details:

Required commitment: At least 4 hours per day, minimum 20 hours per week, with 4 hours of overlap with Pacific Time.
Engagement type: Contractor
Engagement length: Up to 16 weeks

Evaluation Process:

Shortlisted candidates will receive a Job Interest Form.
Final selected candidates will be contacted with next steps, including consent and onboarding requirements.

Consent and Compliance:

Candidates must be willing to grant the necessary app-integration permissions required for the project and complete all standard consent forms and non-disclosure agreements.

Remote AI Analyst | Photographer - Arabic