Synthetic Data Engineer (AI Data/Training)
SingaporemidQuick Summary
Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting. Implement automated quality scoring and de-duplication systems.
Proven experience building large-scale data pipelines (Airflow, Spark, Ray). Deep knowledge of prompt engineering for data generation. Familiarity with dataset distillation and bias mitigation.
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.
Responsibilities
~1 min read- →Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
- →Implement automated quality scoring and de-duplication systems.
- →Manage data pipelines that feed directly into SFT and DPO training loops.
Requirements
~1 min read- Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
- Deep knowledge of prompt engineering for data generation.
- Familiarity with dataset distillation and bias mitigation.
Location & Eligibility
Listing Details
- Posted
- April 24, 2026
- First seen
- April 24, 2026
- Last seen
- May 2, 2026
Posting Health
- Days active
- 8
- Repost count
- 0
- Trust Level
- 35%
- Scored at
- May 3, 2026
Signal breakdown
Web3 and AI talent recruitment agency based in Hong Kong with 700+ placements globally
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Synthetic Data Engineer (AI Data/Training)