LLM Engineer (Data Generation)
Tasks
- Analyze failure cases
- Automate large scale data generation
- Build data generation pipeline
- Clean and curate training data
- Collaborate with model training team
- Design data requirements
- Evaluate data quality
- Generate synthetic instruction data
- Generate synthetic preference data
- Generate synthetic reasoning data
- Implement iterative generation and filtering
- Optimize pipeline cost speed and quality
- Validate data with LLM as a judge
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Data Curation | Data Quality | Data Quality Evaluation | Deep learning | Fine Tuning | Human Feedback | LLM API | LLM Evaluation | LLM-as-a-Judge | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Preference optimization | Prompt engineering | Python | Quality evaluation | RLAIF | RLHF | Ray | Rule-based | Rule-based validation | Spark | Supervised Fine Tuning | Synthetic data
Education
N/A
Roles
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