Innodata is looking to solve the problem of developing and improving generative AI and large language models (LLMs) by partnering with the world’s leading technology companies
Requirements
- Professional or Expert level proficiency (C1/C2) in English
- Ability to work with AI models and algorithms
- Ability to evaluate and improve the performance of AI models
- Ability to annotate and label data
- Ability to classify and categorize items
- Ability to generate prompts and responses for language models
- Ability to work with machine learning models and data augmentation techniques
Responsibilities
- Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
- Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
- Classification: Assigning predefined categories or labels to items.
- Content Quality: Evaluating the perceived quality and/or appropriateness of content
- Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data
- Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.
- Response Generation: Generating responses to prompts or questions using a language model or other AI system.
Other
- A Bachelor’s degree or higher is required
- Applicants must be legally authorized to work in the United States at the time of hire
- Innodata is unable to provide visa sponsorship now or in the future for this position
- Ability to work remotely and maintain control over time
- Ability to contribute to cutting-edge AI development
