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AI Analyst & Photographer – Arabic · Turing Turing · TBD · remote · ago TBD ago

Remote / Online - Candidates ideally in
San Bernardino, San Bernardino County, California, 92401, USA
Listing for: Benture
Part Time, Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 34000 - 55000 USD Yearly USD 34000.00 55000.00 YEAR
Job Description & How to Apply Below
Position: AI Analyst & Photographer – Arabic · Turing Turing · TBD · remote · 2w ago TBD 2w ago

AI Analyst & Photographer (Arabic) | Contractor | Remote | Up to 16 Weeks

Turing is seeking native or highly fluent Arabic-speaking photographers and data annotators to help build evaluation materials for frontier AI systems. You'll source, manipulate, and document real-world images to challenge multimodal AI agents in multi-step visual research tasks. This is a detail-oriented, research-heavy role ideal for candidates with strong cultural knowledge of Arabic-speaking regions and a passion for AI development.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI. Turing specializes in high-quality data, advanced training pipelines, and expert AI researchers across coding, reasoning, STEM, multilinguality, multimodality, and agents.

Role Overview

Annotators will source authentic, verifiably licensed photographs of real-world places, products, and media, then create cropped, occluded, or degraded versions that require AI agents to conduct multi-step web research to identify the subject. Each submission includes a prompt, grading rubric, and detailed solution notes.

Key Responsibilities
  • Source authentic, high-quality photographs of real-world places, products, and media relevant to Arabic-speaking locales.
  • Verify copyright status and document license type and image provenance for each asset.
  • Conduct multi-step research using Google Search, Google Lens, and reverse image search to verify image subjects.
  • Create cropped, masked, or degraded image versions that conceal key identifiers while preserving realistic visual clues.
  • Write clear, time-bound prompts in English without revealing the target identity.
  • Develop concise, objective, one-sentence grading rubrics for each evaluation instance.
  • Prepare solution notes documenting the ground-truth identity, research process, supporting evidence, and expected outcome.
Key Qualifications
  • Language: Native or highly fluent Arabic; strong working proficiency in English required for all deliverables.
  • Cultural Knowledge: Deep familiarity with regionally significant, non-touristy landmarks, universities, municipal buildings, and local film/media — this is a critical requirement.
  • Research

    Skills:

    Experienced with iterative, multi-step investigative research using Google Search, Google Lens, and reverse image search.
  • Image Sourcing & Copyright Literacy: Able to source and verify imagery from Wikimedia Commons, Creative Commons, Smithsonian Open Access, public-domain collections, or original photography.
  • Basic Image Editing: Able to crop, mask, or obscure images while preserving realistic secondary visual clues.
  • Attention to Detail: Skilled at writing precise rubric criteria and appropriately scoped prompts.
  • Tool Proficiency: Comfortable with Google Drive, file-naming conventions, and structured deliverable submissions.
Education & Experience
  • Bachelor's degree or equivalent practical experience in any field.
  • Experience in AI evaluation, data annotation, content review, or quality assurance is preferred but not required.
Engagement Details
  • Type: Contractor
  • Duration: Up to 16 weeks
  • Commitment: Minimum 20 hours/week (at least 4 hrs/day), with 4 hours of overlap with Pacific Time.
Evaluation Process

Shortlisted candidates will receive a Job Interest Form
. Final candidates will be contacted with onboarding and consent requirements, including app-integration permissions and standard NDAs.

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