Generalist
Tiger
$20 – $80 · as listed
Tiger is hiring generalist contributors for remote image-based AI training work on an hourly basis. In this role, you'll help identify and document weaknesses in computer vision models by creating original photography tasks. The work involves capturing unedited photos of real-world outdoor scenes—streets, parking lots, buildings, parks, and markets—then writing counting prompts that test how well AI systems reason about quantities in complex visual environments. This type of AI data work reveals gaps in model performance that standard benchmarks often miss.
This position suits detail-oriented individuals comfortable with photography and willing to think critically about edge cases. No specialized background is required; the role is designed for beginners entering AI training and evaluation work. The arrangement is remote and flexible, offered at $20–$80 per hour depending on task scope and experience. You'll work independently, creating original content that directly contributes to improving AI model robustness.
From the listing: Mercor marketplace · hourly · 40h/week. What the work looks like AI models that read images are often bad at counting, and they get worse when counting takes reasoning. You'll build tasks that expose that weakness: \- Taking your own original, unedited photos of real-world scenes, mainly outdoor ones (streets, parking lots, building facades, parks, markets) that hold many countable objects \- Writing 3–5 counting prompts per imag
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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