About the Role
Innodata is building a team of prompt engineers to harness the power of LLMs to automate data annotation and human evaluation workflows. The goal is to facilitate accurate, localized, and culturally adapted data labeling and translation processes through effective prompt design and implementation. This team will collaborate directly with our client partner, a leading technology company, to identify opportunities for automation, design solutions, and drive measurable improvements. As a technical subject matter expert, you will work backwards from the customer problem statement to develop an efficient plan for execution.
You will collaborate with cross-functional teams, including product managers, data scientists, and client teams, to solve complex problems, reduce human effort, and ensure that AI-driven processes meet high standards for quality and reliability. Your work will directly contribute to improving our client's data annotation and evaluation processes, enabling them to scale more efficiently.
Key Responsibilities
Understand the current components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling.
