Applied Scientist / Research Engineer — Data Quality & Evaluation
mid
via Ashby
About this role
JOB DESCRIPTION:
JOB OVERVIEW
We are looking for an Applied Scientist/Research Engineer to improve the quality of training data and evaluation systems used to develop advanced AI models.
In this role, you will investigate how data quality, dataset composition, and evaluation methods influence model performance. You will design experiments, develop data curation and scoring methods, analyze model failures, and build tools that help us identify the data most valuable for training and improving AI systems.
This role is ideal for someone with a strong background in applied ML research, data-centric AI, or model evaluation who enjoys turning research insights into practical improvements.
WHAT YOU WILL OWN…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonteams