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.
What You Will Do
- 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.
- Curating 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.
What You Will Need
- 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
Skills Required
- Final year student majoring in mathematics, computer science, computer engineering, or 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
GoTo Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GoTo Group and has not been reviewed or approved by GoTo Group.
-
Fair & Transparent Compensation — Pay is considered competitive to above market for many corporate roles across core entities such as Gojek, Tokopedia, and GoTo Financial. Base pay is often characterized as solid or above market in Indonesia tech roles.
-
Healthcare Strength — Medical coverage is characterized as strong in Indonesia and often extends to spouses and children. Company materials also highlight wellness support, parental insurance, and mental‑health counseling for employees and families.
-
Leave & Time Off Breadth — Leave programs are described as generous, including maternity, paternity, and other special leave types at Tokopedia. Broader time‑off and flexibility practices are portrayed as supportive across corporate roles.
GoTo Group Insights
What We Do
GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure. GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.









