Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
Data Science Expert – AI Trainer
Job not on LinkedIn
November 1
Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
📋 Description
• Review and refine AI-generated prompts, responses, and code • Validate technical concepts for accuracy and clarity • Provide structured feedback on solution quality and relevance • Tag, organize, and categorize content by topic and complexity • Support benchmarking initiatives to evaluate model capabilities
🎯 Requirements
• 3+ years of experience in data science, machine learning, or applied statistics (industry or research) • Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field (advanced degree preferred) • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus • Hands-on experience building and deploying machine learning models with frameworks such as scikit-learn, TensorFlow, or PyTorch • Expertise in statistical analysis, data wrangling, and feature engineering on large datasets
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