Photo Analysis: Window Cleaning Equipment Identification
Budget: $30 – $250 USD
Photo Review: Identify Window Cleaning & Safety Equipment in ~7,000 Business Photos (12 GB)
We need a human reviewer to scan approximately 7,000 photos (~12 GB) from a window cleaning company's archives and flag any photos containing window cleaning equipment, fall protection / safety gear, or industrial work settings.
Context: Equipment was stolen from our trailer. We're filing an insurance claim and need to identify photos that show proof of ownership for the stolen gear. We need a real human doing this -- AI can't reliably distinguish a $5,000 self-arrest system from a random metal bracket in the background of a photo.
What you'll receive:
- ~7,000 photos organized in 3 folders (~12 GB total via Google Drive link)
- A detailed equipment reference list with descriptions and example photos
- 5-8 example photos from a training day showing exactly what we're looking for (harnesses, helmets, ropes, climbing gear)
What we need:
- Go through every photo
- Flag any photo that contains: window cleaning equipment (poles, squeegees, buckets, ladders), fall protection / rope access gear (harnesses, helmets, ropes, carabiners, descenders, anchors), water-fed pole systems (tanks, hoses, DI equipment), trucks/trailers/vans with visible equipment, industrial work settings where gear might be visible in the background
- The gear is often incidental -- background, edge of frame, partially visible on a rooftop, or hanging from a building. Workers photograph views and buildings, not the equipment on the roof above them.
- Err on the side of false positives. If you're unsure, flag it. We'll do expert review of your flagged set.
Deliverable:
- A folder or list of flagged photos (copy them to a separate folder, or provide a text file with filenames)
- Brief note per flagged photo if helpful (e.g., "harness visible on worker" or "ladder on truck")
What the photos look like:
- Mixed business photos: job sites, crew photos, training days, office shots, personal photos, screenshots, marketing materials
- About 80% will have nothing relevant -- screenshots, office interiors, personal photos, documents
- The remaining ~20% are job sites, crew photos, and work settings where gear may appear
- The highest-value finds are: workers wearing safety harnesses or helmets, ropes on buildings, water-fed poles in use, equipment storage rooms, truck/trailer racks loaded with gear
Ideal background (not required):
- Rock climbing, construction, arborist, janitorial, building maintenance, or facilities management
- Familiarity with fall protection equipment, rope access systems, or window cleaning tools
Important: This is a manual review job. Do NOT run the photos through ChatGPT, Google Vision, or any AI tool. We've already done AI scanning. We need human pattern recognition for the edge cases AI misses.
BUDGET STRUCTURE:
Part 1 -- Broad Sweep ($100 fixed): Flag any photo containing equipment, safety gear, or industrial work settings. This is the bulk of the work.
Part 2 -- High-Value Photo Bonus (up to $100 tip): We already ran AI on these photos. AI found the obvious stuff. If your second pass catches high-value equipment photos that the AI missed -- especially anything showing the stolen trailer itself, equipment storage areas, or specific high-dollar items on the reference list (self-arrest systems, davit arms, descenders, DI systems) -- we'll tip up to $100 on top of the base rate.
Total potential: $200.
We need a human reviewer to scan approximately 7,000 photos (~12 GB) from a window cleaning company's archives and flag any photos containing window cleaning equipment, fall protection / safety gear, or industrial work settings.
Context: Equipment was stolen from our trailer. We're filing an insurance claim and need to identify photos that show proof of ownership for the stolen gear. We need a real human doing this -- AI can't reliably distinguish a $5,000 self-arrest system from a random metal bracket in the background of a photo.
What you'll receive:
- ~7,000 photos organized in 3 folders (~12 GB total via Google Drive link)
- A detailed equipment reference list with descriptions and example photos
- 5-8 example photos from a training day showing exactly what we're looking for (harnesses, helmets, ropes, climbing gear)
What we need:
- Go through every photo
- Flag any photo that contains: window cleaning equipment (poles, squeegees, buckets, ladders), fall protection / rope access gear (harnesses, helmets, ropes, carabiners, descenders, anchors), water-fed pole systems (tanks, hoses, DI equipment), trucks/trailers/vans with visible equipment, industrial work settings where gear might be visible in the background
- The gear is often incidental -- background, edge of frame, partially visible on a rooftop, or hanging from a building. Workers photograph views and buildings, not the equipment on the roof above them.
- Err on the side of false positives. If you're unsure, flag it. We'll do expert review of your flagged set.
Deliverable:
- A folder or list of flagged photos (copy them to a separate folder, or provide a text file with filenames)
- Brief note per flagged photo if helpful (e.g., "harness visible on worker" or "ladder on truck")
What the photos look like:
- Mixed business photos: job sites, crew photos, training days, office shots, personal photos, screenshots, marketing materials
- About 80% will have nothing relevant -- screenshots, office interiors, personal photos, documents
- The remaining ~20% are job sites, crew photos, and work settings where gear may appear
- The highest-value finds are: workers wearing safety harnesses or helmets, ropes on buildings, water-fed poles in use, equipment storage rooms, truck/trailer racks loaded with gear
Ideal background (not required):
- Rock climbing, construction, arborist, janitorial, building maintenance, or facilities management
- Familiarity with fall protection equipment, rope access systems, or window cleaning tools
Important: This is a manual review job. Do NOT run the photos through ChatGPT, Google Vision, or any AI tool. We've already done AI scanning. We need human pattern recognition for the edge cases AI misses.
BUDGET STRUCTURE:
Part 1 -- Broad Sweep ($100 fixed): Flag any photo containing equipment, safety gear, or industrial work settings. This is the bulk of the work.
Part 2 -- High-Value Photo Bonus (up to $100 tip): We already ran AI on these photos. AI found the obvious stuff. If your second pass catches high-value equipment photos that the AI missed -- especially anything showing the stolen trailer itself, equipment storage areas, or specific high-dollar items on the reference list (self-arrest systems, davit arms, descenders, DI systems) -- we'll tip up to $100 on top of the base rate.
Total potential: $200.