Data Trainer Expert
3 days ago
**Job Responsibilities:**
- Curate and Label Training Data:
- Select, label, and organize datasets that enable machine learning models to learn effectively.
- Refine and Clean Datasets:
- Preprocess and clean raw data to eliminate noise and inaccuracies, ensuring high-quality data inputs.
- Collaborate on Annotation Guidelines:
- Work with data scientists and product managers to define labeling and annotation guidelines that align with project goals.
- Optimize Data for Model Performance:
- Analyze and select data subsets to improve model training efficiency and accuracy.
- Conduct Quality Assurance on Labeled Data:
- Perform quality checks on annotated data to ensure labels are accurate and useful for model training.
- Monitor and Report Data Training Results:
- Track the impact of training data on model performance, and create reports to communicate improvements and insights.
- Stay Updated on AI Data Annotation and Training Trends:
- Keep up with advancements in AI training techniques, annotation tools, and data management.
**Requirements:**
- Data Annotation and Labeling: Extensive experience with data labeling tools and techniques, with the ability to create high-quality, structured datasets.
- Data Cleaning and Preprocessing: Strong understanding of data cleaning methods to prepare datasets for model training.
- Analytical Skills and Quality Assurance: Ability to assess data quality and accuracy through quality assurance processes.
- Collaboration and Communication: Strong communication skills to work with cross-functional teams and explain data requirements.
- Technical Skills: Proficiency in data manipulation using tools like Python or SQL.
**Salary:** $85,000 - $110,000 per year, depending on experience. We offer comprehensive benefits, including health insurance, paid time off, and opportunities for professional development.
This is an exciting opportunity to join a dynamic team and contribute to the development of cutting-edge AI solutions. If you are passionate about data training and machine learning, we encourage you to apply.
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