English Computational Linguist

Who we are

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

Mission-driven: we focus on creating economic and social impact.

People-centric: we care deeply about our team's growth, well-being, and sense of belonging.

Innovative: we embrace change and find better ways to do things, together.

Globally connected: we foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.

What you'll do

Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models

Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision

Distinguish read-aloud from spontaneous speech to support speech data annotation

Write grammar explanations that are linguistically rigorous and genuinely useful to learners

Design vocabulary tasks grounded in real usage patterns, not textbook cliches

Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data

Requirements

Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus)

Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work

Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred

Native or near-native English proficiency (CEFR C2)

Native or near-native Spanish proficiency ((CEFR C2)

Engagement details

Type: 1099 Independent Contractor

Time commitment: 10-20 hours per week

Project duration: 3 months, potential extension

Originally posted on Himalayas