ANNOTATOR
I have contributed to ongoing MultiMango Diamond workstreams within TrainAI / RWS, focused on multimodal data evaluation across image, video, and text datasets. The scope includes large-scale comparative annotation and rubric-based ranking of AI-generated outputs. Tasks involve detailed assessment of colour fidelity, contrast accuracy, shadow density, spatial registration, framing consistency, artefact and residual detection, motion stability (video), and fine-detail resolution. I perform structured qualitative evaluations aligned with evolving project guidelines and technical scoring frameworks. The project volume includes continuous production across multiple Purchase Orders, with sustained high-accuracy delivery under deadline-driven conditions. Outputs are submitted within structured BPP systems and tracked through formal invoicing cycles. Quality measures adhered to include strict rubric compliance, internal consistency checks, edge-case flagging, guideline version tracking, an