Hire NLP engineers who turn text into structured data

Reviews, tickets, contracts and call transcripts are full of signal nobody has time to read. Cubehire NLP engineers build text classification, extraction and search systems that pull that signal out at scale and choose between a small fast model and a large language model for each job.

Hire NLP Engineers How we vet them
The work

What our NLP Engineers build

Typical projects companies bring a NLP engineer in for.

1

Text classification

Routing tickets, tagging feedback and flagging risky messages automatically with measured accuracy.

2

Entity and field extraction

Names, dates, amounts and clauses pulled from contracts, emails and medical or legal text.

3

Sentiment and topic analysis

Dashboards that show what customers are saying across reviews, surveys and support calls.

4

Semantic search

Search that matches meaning rather than exact words across large document collections.

Skills

Skills we test every NLP engineer on

  • Python
  • Hugging Face Transformers
  • spaCy
  • Text classification
  • Named entity recognition
  • Embeddings
  • LLM prompting
  • Fine tuning BERT style models
  • Elasticsearch
  • Data annotation
  • Model evaluation
  • Multilingual text
Vetting

How we vet NLP Engineers

Every NLP engineer sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Chooses between a fine tuned small model and an LLM for a high volume classification task and justifies the cost.

  2. Check 2

    Designs an annotation guideline and explains how to measure labeler agreement.

  3. Check 3

    Handles messy real world text such as typos, mixed languages and domain jargon.

Available now

Vetted NLP Engineers in the network

Each profile carries a scored AI interview and a human review.

See the whole network

Tell us about your NLP engineer role

New profiles are approved every week. Describe the role and we will send matched, interview scored NLP Engineers within 48 hours.

Describe the role
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring NLP Engineers

Questions about hiring NLP Engineers

What companies ask before they hire a NLP engineer through Cubehire.

Talk to our team
Yes, for anything high volume or regulated. A fine tuned small model can be many times cheaper and faster than an LLM for the same classification, and an NLP engineer knows when each is the right tool.
Yes. Calls are transcribed with speech models first, then analyzed for topics, sentiment, compliance phrases or action items like any other text.
A sample of your real text and a clear list of what you want to extract or classify. Your engineer will label a small set, build a baseline and show you the accuracy before scaling up.
Yes. Multilingual models cover Spanish and many other languages common in US customer bases, and accuracy is measured per language.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

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Ready to hire a NLP engineer?

Tell us the stack and the work. You get matched, interview scored NLP Engineers within 48 hours.

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