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.