Dedicated NLP engineers for your offshore team.
Offshore NLP engineers in Chiang Mai and Bangkok, working full time on your product and managed by us. An NLP engineer solves language problems such as classification, extraction and search, often with smaller, faster models than an LLM.
We employ, manage and keep training the engineers we assign, and you pay one fixed monthly fee.
This role is part of a dedicated AI engineering team. It's staff augmentation, fully managed: take one role on its own, or the whole area as one delivery team.
One NLP Engineer, assigned to your product and fully managed.
We assign an NLP Engineer to your team full time and run everything around them: a service delivery manager who oversees delivery, training and coaching, the office and equipment, and HR and payroll. The price below is for a junior NLP Engineer; other levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One junior NLP Engineer, full time, everything below included. All 27 things included ››
- NLP engineer From USD 3,100 per month
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Service
We manage and develop the team
- A service delivery manager who oversees operations and delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every team member
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What an NLP Engineer does on a dedicated AI engineering team.
They work with the people who own your text data and with your search or product engineers. Together they agree what good output looks like before any model is trained.
NLP Engineer skills and technologies
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Text classification, named entity recognition and information extraction from unstructured documents.
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Semantic search and similarity over your own corpus.
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Multilingual handling, which matters a lot for international products.
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Building annotation guidelines so training data is consistent between annotators.
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Handling domain-specific vocabulary that general models tokenise badly.
NLP Engineer seniority levels.
Junior to senior. Classical NLP skills are increasingly rare and increasingly useful. If your problem needs them, say so at scoping, because the level we hire at is part of how the monthly fee is built.
When your team needs an NLP Engineer.
Often the cheaper and more accurate choice for narrow, high-volume text tasks. The NLP engineer works alongside an AI or LLM engineer in a dedicated AI team. NLP engineers fit companies that hire offshore developers for high-volume text work, where a smaller model beats a larger one.
What we look for in a dedicated NLP Engineer.
We look for NLP engineers with classical foundations as well as transformer experience. They should know when spaCy beats an LLM, write annotation guidelines people can follow, and handle more than one language.
A remote NLP Engineer's first three months on your team.
- Weeks 1 to 2Studying your text data and labelling what good output looks like.
- Weeks 3 to 6Building the first models and measuring them against a baseline.
- Months 2 to 3Owning the language pipeline in production, including multilingual handling.
Questions about adding an NLP Engineer to your team.
Why not use a large language model for this?
For narrow, high-volume text tasks, a smaller model is often more accurate, far cheaper and easier to evaluate than a large language model. The engineer on your team compares options on your own data and recommends the right fit. That can be a mix of both for different parts of the problem.
Can you work with non-English text?
Yes. Multilingual handling matters for international products, and we plan for it from the start: tokenisation, language detection and evaluation sets for each language you support. Some languages need dedicated models or extra data, and the engineer flags that early so it can be planned and budgeted.
Add remote NLP engineers to your team.
Tell us what text you have, which languages it is in and what you need out of it. We'll come back with the NLP profile we'd hire and the fixed monthly fee. The time to hire is four weeks, counted from signing.
Tell us what your NLP engineer would work on.
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