Data Trainer Expert

3 days ago


San Francisco, California, United States Unreal Gigs Full time
Unreal Gigs seeks a skilled Data Trainer Expert to join our team. This role involves curating and refining data for machine learning models, ensuring high-quality inputs for accurate results. The ideal candidate will have extensive experience with data annotation tools and techniques, as well as strong analytical skills to assess data quality and accuracy. As a key member of our team, you will collaborate with data scientists, machine learning engineers, and product teams to prepare, label, and refine data that directly impacts the performance and learning of AI algorithms across diverse applications.

**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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