Photo-Based AI Training Assistant. US only

I’m looking for reliable help with the image side of an AI training project that revolves entirely around photographs. Your main focus will be preparing and managing those photos so our models learn accurately and efficiently.

Here’s what I need from you:
• Organise incoming photo batches, check for duplicates or corrupted files, and file them in the agreed folder structure.
• Annotate or label images when required—bounding boxes, masks, or simple classification tags depending on the current sprint—using common tools such as CVAT, Labelbox, or a platform you’re comfortable with.
• Track progress in a shared spreadsheet so dataset coverage, class balance, and outstanding tasks are always clear.
• Flag edge-cases or low-quality shots so we can decide together whether to keep or discard them.

Acceptance criteria
• All assigned photos are uploaded, labelled, and neatly filed by the deadline we set at the start of each batch.
• Annotations meet the guideline examples I’ll provide; spot-checks must pass at 95 % accuracy or higher.
• Progress tracker is fully up-to-date at hand-off.

If you already have experience curating photographic datasets or have worked on computer-vision projects, let me know; otherwise just tell me which annotation tools you can jump into immediately. Consistent communication and a sharp eye for detail are far more important than speed. I’m ready to start assigning the first batch as soon as you are.