AI Data Quality Analyst — Foundation Models (Graduate)

Paramadina; Jakarta Pusat; On-site; IDR 150,000,000 - 250,000,000; Full time

Job summary

Paramadina is seeking a data quality specialist to define and continuously improve standards for foundation-model training and evaluation. You will review data outputs against criteria, identify issues, and ensure accuracy and consistency.

You will adjudicate complex cases, translate conclusions into reusable rules and knowledge assets, track quality metrics, and drive improvements in production processes. Collaboration with production, product, algorithm, and strategy teams will align standards

Qualifications

• Bachelor's degree in a related field.
• Internship or project in data quality, content moderation, or AI data.
• Excellent English skills (listening, speaking, reading, writing).
• Familiarity with Excel and data-processing tools.
• Experience with foundation-model products (ChatGPT, Claude, Gemini, Doubao).
• Strong logical, analytical, and communication skills.
• Detail-oriented with a clear view of high-quality data.

Responsibilities

• Define and continuously improve data-quality standards, judgment rules, and acceptance criteria for foundation-model training and evaluation.
• Review and assess data outputs against quality standards, identify issues, and ensure accuracy and consistency.
• Engage in adjudication and discussion of complex, ambiguous, and borderline cases; translate conclusions into reusable judgment rules and knowledge assets.
• Track quality metrics, identify root causes, and drive improvements in production processes and execution.
• Collaborate with production, product, algorithm, and strategy teams to align quality standards and connect the standards–production–acceptance–feedback chain.

Skills

English proficiency

Analytical thinking

Communication

Attention to detail

Data quality

Education

Bachelor's degree in a related field

Tools

Excel

Job description

Paramadina is seeking a data quality specialist to define and continuously improve standards for foundation-model training and evaluation. You will review data outputs against criteria, identify issues, and ensure accuracy and consistency.

You will adjudicate complex cases, translate conclusions into reusable rules and knowledge assets, track quality metrics, and drive improvements in production processes. Collaboration with production, product, algorithm, and strategy teams will align standards