Innodata is looking to improve the accuracy, fluency, coherence, and voice of large language models (LLMs) by creating high-quality training data sets.
Requirements
- Professional or Expert level proficiency (C1/C2) in English
- Strong understanding of grammar, syntax, and semantics
- Ability to edit and improve written communication across a wide variety of fields
- Well-honed internet research skills
- Ability to work with AI models and large language models (LLMs)
- Familiarity with data annotation and data curation
- Experience with data analysis and data quality control
Responsibilities
- Creating training data sets for AI models
- Annotating data to help AI models align with human values
- Analyzing and improving the grammar, syntax, and sentence structure of AI model-generated text
- Collaborating with cross-functional teams to refine and iterate data sets
- Contributing to evolving specifications for AI-model training and data recipes
- Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities
- Achieving target KPIs, including daily job count and average handle time per job
Other
- A Bachelor’s degree or higher in a relevant field (Advanced degrees strongly preferred)
- Strong attention to detail
- Excellent writing skills
- Creative thinker
- Ability to work independently and as part of a team
- Adaptability to thrive in a dynamic environment
- Ability to navigate ambiguity with ease
