Are you passionate about working with data to train and improve AI models?

Do you excel in creating datasets that empower machine learning models to perform with precision and accuracy?

If you’re ready to shape the intelligence of AI systems, our client has the ideal role for you.

We’re looking for an AI Data Trainer (aka The Model Mentor) to prepare, label, and refine data that directly impacts the performance and learning of AI algorithms across diverse applications.As an AI Data Trainer at our client, you’ll collaborate with data scientists, machine learning engineers, and product teams to curate, clean, and label datasets.

Your work will be instrumental in teaching AI models how to understand and respond to real-world scenarios, from image recognition to natural language understanding.Key Responsibilities: Curate and Label Training Data: Select, label, and organize datasets that enable machine learning models to learn effectively.

You’ll ensure data is representative, balanced, and relevant for the models’ intended tasks.

Refine and Clean Datasets: Preprocess and clean raw data to eliminate noise and inaccuracies, ensuring high-quality data inputs.

You’ll apply best practices to enhance data accuracy and reliability.

Collaborate on Annotation Guidelines: Work with data scientists and product managers to define labeling and annotation guidelines that align with project goals.

You’ll standardize processes to maintain consistency across datasets.

Optimize Data for Model Performance: Analyze and select data subsets to improve model training efficiency and accuracy.

You’ll monitor model performance to identify and address gaps in data quality or diversity.

Conduct Quality Assurance on Labeled Data: Perform quality checks on annotated data to ensure labels are accurate and useful for model training.

You’ll provide feedback to improve data annotation workflows and tools.

Monitor and Report Data Training Results: Track the impact of training data on model performance, and create reports to communicate improvements and insights.

You’ll work closely with machine learning engineers to refine datasets iteratively.

Stay Updated on AI Data Annotation and Training Trends: Keep up with advancements in AI training techniques, annotation tools, and data management.

You’ll incorporate new tools and methods to streamline and improve data preparation.