AI Data Scientist

3 weeks ago


San Francisco, California, United States Unreal Gigs Full time
Job Title: AI Data Scientist

We are seeking an experienced AI Data Scientist to join our team at Unreal Gigs. As a key member of our data science team, you will be responsible for training and improving AI models by curating and labeling high-quality datasets.

Salary:$120,000 - $150,000 per year

About the Role:

The successful candidate will have extensive experience in data preparation, annotation, and quality management with hands-on experience training machine learning models. You will work closely with data scientists, machine learning engineers, and product teams to curate, clean, and label datasets that enable machine learning models to learn effectively.

Main 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.
Requirements:

To succeed in this role, you will need:

  • 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.
Benefits:

We offer a comprehensive benefits package, including health and wellness insurance, paid time off, and professional development opportunities.


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