15 set - Roma
Mercor
Mercor is seeking a meticulous Odia-language annotator to build richly structured, fully transcribed Odia documents from public PDF sources. You will identify, bound and label page regions, preserve exact Odia text, and ensure faithful transcription even in complex layouts.
Focused on accurate reading order and cross-reference relationships, you will contribute to a diverse Odia dataset used for training document AI systems.
16 set - Milano
Testbusters
16 set - Pagnacco
GiGroup H-6810
16 set - Roma
UNICEF
16 set - Torino
Stellantis