AI Researcher – Multilingual Data
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 283d ago
The date the source published, not the day we noticed it (2026-01-23). Last seen at its source 6h ago.
We have tracked this listing since 7 Aug 2026 (87 days). The employer's own board has carried it every time we have read it since 19 Aug, when our records begin, most recently 6 hours ago.
Is it remote?
Remote (world)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 87d ago · last seen 6h ago
The listing
About the Role
We’re looking for an AI Researcher focused on multilingual data to help us build and scale next-generation language models across diverse languages and domains. You’ll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems.
This role is ideal for someone who enjoys working close to the frontier: balancing papers, prototypes, and real-world impact in a fast-moving startup environment.
What You’ll Do
Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement
Develop strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design)
Research and improve cross-lingual transfer, alignment, and robustness in large language models
Build and maintain evaluation benchmarks for multilingual performance
Collaborate with engineers and researchers on training pipelines and model architecture decisions
Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate
Translate research insights into practical improvements in production models
What We’re Looking For
Strong background in NLP / ML research, with a focus on multilingual or cross-lingual modeling
Publication record at respected conferences or journals (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.)
Experience working with large-scale text datasets across multiple languages
Solid understanding of:
Tokenization and vocabulary design for multilingual models
Data quality metrics, filtering, and dataset bias
Transfer learning and multilingual representation learning
Comfortable prototyping in Python with modern ML frameworks (PyTorch, JAX, etc.)
Ability to operate independently and ship research in a startup pace environment
Nice to Have
Experience with low-resource languages or non-Latin scripts
Open-source contributions in NLP or data tooling
Experience training or evaluating large language models
Familiarity with multilingual benchmarks (e.g., XTREME, FLORES, TyDi QA)
Why Join Us
Real ownership over research direction and impact
A team that values papers and production
Access to meaningful scale: large datasets, modern infrastructure, and fast iteration
Competitive compensation and meaningful equity at an early stage