Data Science Intern

About the Role

This role combines linguistic expertise with a solid understanding of AI and machine learning to support the development and refinement of high‑quality language outputs. It focuses on evaluating and improving LLM‑generated content to ensure accuracy, fluency, and cultural relevance for local users, while working closely with cross‑functional teams to align language quality with broader project goals.

• Annotate datasets in the local language to improve the model’s ability to process multilingual content.
• Clean and preprocess language‑specific data, ensuring high‑quality inputs for training.
• Analyze and document the unique grammar, syntax, and cultural nuances of the local language.
• Identify and annotate idiomatic expressions, slang, and context‑specific terms to enhance the model’s understanding.
• Collect and validate data from various sources to train our LLM.
• Assist in fine‑tuning the LLM for the local language by creating and refining training datasets.
• Develop language‑specific preprocessing strategies, such as tokenization or stemming.
• Curate evaluation sets for Bahasa and dialects.
• Review and evaluate the LLM’s output for accuracy, grammar, and cultural appropriateness in the local language.
• Serve as a human evaluator for model testing, ensuring high‑quality outputs.

• Final year student majoring in mathematics, computer science, computer engineering, and other related majors.
• Proficiency in Python programming and basic data processing skills.
• Attention to detail, with a focus on maintaining high data quality standards.
• Strong communication skills for effective collaboration and documentation.
• Ability to work independently and as part of a team.
• Willingness to learn and adapt in a fast‑paced environment.
• Ability to provide constructive feedback and contribute to team discussions.
• Available for a 6 month internship period.