AI Training Data Specialist

Responsibilities:
Collect, curate, and preprocess data for training AI models.
Identify and address biases or inconsistencies in datasets.
Collaborate with data scientists to define data requirements and formats.
Implement quality assurance processes to validate data integrity.
Develop and maintain tools for efficient data labeling and annotation.

Requirements:
Strong knowledge of data preprocessing and annotation techniques.
Experience with Python and data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with database management and querying (SQL, NoSQL).
Understanding of machine learning workflows and training pipelines.
Bachelor’s degree in Data Science, Computer Science, or related field.