About this role
Overview: Photographers and annotators are needed to capture and document a image people and places dataset using professional DSLR/mirrorless cameras. Images will be used for AI/computer vision model training and must meet strict consistency standards for framing, settings, and metadata. Responsibilities: People Dataset: Photograph diverse subjects (gender, age, skin tone, ethnicity) indoors and outdoors. Capture across three face-coverage tiers: >25%, 15–25%, and <15% of the field of view. Scene Dataset: Photograph indoor/outdoor scenes following a protocol. Save all files in RAW format (CR2 / NEF / ARW) at full sensor resolution. Approved Equipment: Camera Bodies: Canon R5 / R3 | Nikon Z8 / Z9 | Sony Alpha 9 III / A7 III / A7 IV Lenses: Canon / Nikon / Sony high-quality telephoto, 70–200mm range File Format: RAW only (CR2 / NEF / ARW) — JPEG not accepted Quality Standards: RAW format only — JPEG submissions rejected. Images must be sharp, correctly exposed, and in focus. Images submitted will go through a quality check process before being approved or rejected. Required Skills Hands-on experience with Canon, Nikon, or Sony professional cameras. Confident use of manual exposure settings (aperture, shutter, ISO, focal length). Experience photographing people in varied environments. Accuracy and consistency in data/metadata entry. Ability to source participants for taking their photographs.