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Post-Training Research Scientist (LLM Evaluation & Data Quality)

true-talent-solutions-partners • United States
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AI Summary

Join a research team at an AI data company to design experiments measuring how training data impacts model performance, generalization, and alignment. Focus on supervised fine-tuning, reinforcement learning, and evaluation benchmarks. Requires 0-4 years of experience in LLM training, post-training, or model evaluation, with strong software engineering and research skills.

Key Highlights
Design controlled experiments to measure impact of training data on model capabilities, generalization, and alignment
Develop evaluation benchmarks and new data types for model training and assessment
Build shared evaluation infrastructure for reproducibility across models and domains

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Key Responsibilities
Run controlled experiments to measure dataset impact on model performance
Develop evaluation benchmarks and new data types for model training
Build shared evaluation infrastructure for reproducibility
Publish research, technical reports, and blog posts
Improve data quality and production using experimental results
Collaborate with external research partners
Technical Skills Required
LLM Training & Evaluation Supervised Fine-Tuning (SFT) Reinforcement Learning (RL) for Post-Training

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Benefits & Perks
Base salary: $150,000 to $250,000 annually
Visa sponsorship available

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Nice to Have
Prior experience at a frontier AI lab
Research experience in model evaluation, post-training, or data curation

Job Description

About the Role

Join a post-training research team at an applied AI data company focused on improving foundation models. You will design controlled experiments to measure how training data influences model capabilities, generalization, and alignment, then turn findings into practical recommendations.

What You'll Do

Run controlled supervised fine-tuning and reinforcement learning experiments to measure the impact of datasets on model performance.

Help develop evaluation benchmarks and new data types that advance model training and assessment.

Build shared evaluation infrastructure to make findings reproducible across models, capabilities, and domains.

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Job Overview
Posted Nov 13, 2026
Employment Full-time
Experience Associate
Location United States
Category Data Science
Company true-talent-solutions-partners
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