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AI Researcher – Multilingual Data

Region Restricted

Remote work allowed only within certain countries or regions.

Employer listed it 9 months ago · Added 5 weeks ago

Been open since 9 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
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Experience asked for
Not mentioned in the advert
Pay
Not mentioned in the advert

Remote flexibility

Region Restricted

Remote work is allowed, but the listing limits candidates to Remote (world).

What the employer says

  • Source listing states candidate location: "Remote (world)"

What Nomaders makes of it

  • Nomaders could not match this to a wider region
  • Check the original posting

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Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
  • No pay is stated. Ask for the salary range before investing time in interviews.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, region restricted, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Featherless AI, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Pay not stated · You'll be taken to the employer's careers page.