Responsibilities

📍Data Assembly & Annotation: Gather and annotate training data for AI models, ensuring it meets the quality requirements for reward modeling and supervised fine-tuning. 📍Data Cleaning & Processing: Conduct data cleaning and preprocessing to ensure models receive high-quality input. 📍Model Training: Participate in the training and fine-tuning of models, ensuring that they meet performance and accuracy standards. 📍Collaboration: Work with AI engineers, data scientists, and other team members to ensure efficient workflows and data handling. 📍Continuous Improvement: Support iterative improvements to models based on performance monitoring and feedback.

Requirements

📍Experience: At least 3 years of experience working in a software engineering role focused on AI/ML tasks. 📍Data Expertise: Hands-on experience assembling, annotating, and cleaning training data for machine learning models. 📍Technical Skills: Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch. 📍Model Training: Familiarity with model training, reward modeling, and supervised fine-tuning techniques. 📍Attention to Detail: Strong focus on data quality and attention to detail when handling large datasets.