Drimva

Raydar

Research Engineer

$250K–$290K

San Francisco, California · Full-time · Posted Oct 12, 2026

About the job

Designs and builds systems to measure the quality of machine-learning outputs, using evaluation findings to inform model and product decisions.

What you'll do

  • Define quality measures and build reliable, scalable evaluation pipelines.
  • Create and curate labeled reference data for comparing model outputs.
  • Communicate evaluation results and connect them to model and product decisions.

What they ask for

  • Proven experience building evaluations for LLM-based data extraction or data quality at scale.
  • Experience creating scoring approaches and evaluation systems, and assembling human-labeled or verified reference data.
  • Evaluation work that influenced model or product decisions, supported by work history.
  • Strong Python skills and a solid grounding in statistics.

Pay

USD 250,000 to 290,000 per year (base salary)

Tools

Python

AI focus

Evaluates LLM-based data extraction or data quality and uses findings to guide model and product decisions.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)