Description review
Renaissance Philanthropy | Research Engineer (Speech AI/ML) | Remote (worldwide)
Renaissance Philanthropy · Remote (worldwide) · back to the listing
HR standards
37/100
poor
Title ↔ description
65/100
needs work
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Renaissance Philanthropy's aim is to activate a virtuous circle of increasing ambition and impact between philanthropists and innovators: by identifying frontier experts both in science and in new ways of solving problems; by tapping into the growing number of emerging philanthropists; and by building multi-sector initiatives that can harness the power of philanthropy, markets, and governments.
RenPhil's Engineering Hub supports mission-driven, grant-funded educational technology projects that seek to improve educational outcomes in fundamental skills like math and reading. This summer we're launching a program called LEVI Literacy, which has a goal of halving the number of struggling readers in the US within 5 years.
We're looking for an expert in modern voice AI to support this work. Our partner teams are building tools that assess and support early reading directly from children's speech in real classrooms — oral reading, spoken vocabulary tasks, whole-class instruction. These are hard, meaningful speech problems: young1 children's voices, noisy multi-speaker environments, and high stakes for getting it right — and fair — for every student.
We're looking for folks who:
- have built and operated production ASR or speech-processing systems
- know the full data-to-model pipeline: collection, annotation, fine-tuning, evaluation, and deployment
- can speak the languages of both research and engineering
- want to help create a world where all children learn to read well.
If this sounds like you, please apply!
https://www.renaissancephilanthropy.org/careers
RenPhil's Engineering Hub supports mission-driven, grant-funded educational technology projects that seek to improve educational outcomes in fundamental skills like math and reading. This summer we're launching a program called LEVI Literacy, which has a goal of halving the number of struggling readers in the US within 5 years.
We're looking for an expert in modern voice AI to support this work. Our partner teams are building tools that assess and support early reading directly from children's speech in real classrooms — oral reading, spoken vocabulary tasks, whole-class instruction. These are hard, meaningful speech problems: young1 children's voices, noisy multi-speaker environments, and high stakes for getting it right — and fair — for every student.
We're looking for folks who:
- have built and operated production ASR or speech-processing systems
- know the full data-to-model pipeline: collection, annotation, fine-tuning, evaluation, and deployment
- can speak the languages of both research and engineering
- want to help create a world where all children learn to read well.
If this sounds like you, please apply!
https://www.renaissancephilanthropy.org/careers