About ai rudder
ai rudder is a fast-growing software company transforming customer communication through ai voice automation. Our ai voice assistants enable call centers to conduct natural, human-like conversations at scale, automating routine tasks, reducing costs, and enhancing customer engagement. By integrating automation with a human touch, we help businesses unlock efficiency and scale intelligently. Our long-term vision is to reshape the way companies and customers connect.
about the role
we’re looking for an ai model data operation specialist to oversee and manage data annotation projects for spanish nlp/asr/llm language models, ensuring timely delivery with high-quality standards.
key responsibilities
* end-to-end data lifecycle management: oversee the collection, cleaning, and annotation of high-quality datasets for spanish nlp/asr models to ensure superior model training inputs.
* model performance & evaluation: conduct rigorous benchmarking and qualitative analysis of llm-powered voice assistants; identify edge cases in natural language understanding (nlu) and implement data-driven optimizations.
* multilingual quality assurance: define and enforce linguistic annotation guidelines across various languages, ensuring cultural nuances and phonetic accuracy are maintained in automated voice interactions.
* project & vendor coordination: lead and manage distributed teams of overseas part-time contributors and vendors; track progress, provide feedback, and ensure deliverables meet strict project timelines and quality kpis.
* product iteration & innovation: collaborate closely with product and r&d teams to translate evaluation outcomes into actionable product upgrades, driving the "human-like" quality of our ai voice robots.
* data analysis & reporting: utilize data visualization and reporting tools to monitor model health, reporting on accuracy trends and the impact of optimization efforts to stakeholders.
who you are
* bachelor’s degree or higher, with 1–3 years of relevant work experience. A background in linguistics or computer science is highly desirable.（outstanding soon-to-graduate students can also be considered）
* proven experience in data annotation, data operations, or similar fields is preferred.
* basic understanding of llm capabilities; prior project experience involving llms is an advantage.
* strong sense of responsibility, attention to detail, and excellent execution and organizational skills.