Key Responsibilities:
Assist in the development and implementation of NLP models for language processing tasks such as text classification, sentiment analysis, machine translation, and speech recognition.
Collaborate with the team to design and integrate language learning features, including grammar correction, vocabulary building, and conversational practice.
Support data collection, preprocessing, and annotation for training AI models.
Conduct testing and debugging of AI models to ensure accuracy, efficiency, and scalability.
Stay up-to-date with the latest advancements in NLP, machine learning, and language learning technologies.
Document development processes, model performance, and user feedback to guide future improvements.
Assist in the deployment and maintenance of AI models on the platform.
Work with cross-functional teams, including UX/UI designers and product managers, to ensure a seamless user experience.
Qualifications:
Bachelor’s degree or studying in Computer Science, Artificial Intelligence, Data Science, Linguistics, or a related field (or equivalent experience).
Basic understanding of NLP techniques and machine learning algorithms.
Basic Familiarity with programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. (Optional advantage)
Experience with data preprocessing, cleaning, and analysis.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills.
Passion for language learning and educational technology is a plus.
