True-Talent-Solutions-Partners
United States
New
Post-Training Research Scientist
- AI
T
Data and Evaluation Systems Engineer
Visa Sponsorship
AI Summary
Build data and evaluation systems that shape how advanced AI models learn and improve. Design data slices, evaluation rubrics, reward signals, and data pipelines across finance, code, and enterprise workflows. Requires 1-4 years of software engineering experience with strong Python and hands-on LLM evaluation or RLHF experience.
Key Highlights
Build data and evaluation systems for advanced AI models
Design data slices, rubrics, and reward signals for RLHF/RLVR
Create and manage real-world and synthetic data pipelines
1-4 years software engineering experience required
On-site in San Francisco, California
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Key Responsibilities
Design data slices across finance, code, and enterprise workflows to reveal meaningful model failure modes
Build and refine evaluation rubrics and reward signals for RLHF and RLVR pipelines
Model annotator behavior and run experiments to improve model capabilities
Develop quantitative approaches to measure dataset quality, diversity, and impact on model alignment and capabilities
Create and manage real-world and synthetic data pipelines
Collaborate with research teams to translate training objectives into concrete data and evaluation specifications
Technical Skills Required
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Benefits & Perks
Visa sponsorship
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Nice to Have
Work in AI safety, benchmarking, model evaluation, or open-source evaluation projects
Job Description
About the Role
Build data and evaluation systems that shape how advanced AI models learn and improve. You will work with research teams to turn training objectives into practical datasets, experiments, and evaluation specifications.
What You'll Do
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