Need to hire natural language processing (NLP) developers? We have all the resources to help you in this mission — from our proven candidate base to the expertise in day-to-day HR routine.
Build A Remote TeamWe hire an NLP engineer who matches. Whether it’s getting insights from unstructured business data or making your support chatbots more personalized — we stick to your unique goals when seeking each specialist.
A pre-vetted natural language processing (NLP) engineer is a specialist who matches all your preferences. We examine hundreds but showcase to you only the best.
We set up interviews with NLP developers for hire who’ve successfully passed all our interviews. You decide on the pros who get a job offer and join your team.
We hire NLP developers, covering all steps from contract signing to setting up the work environment and security training. After our structured onboarding, you get team members ready for their core tasks.
We take care of your NLP developers by focusing on long-term hires, as well as their retention. Your Account Manager covers all administrative tasks such as payroll, benefits, and HR management.
Partnering with us means being in the loop. We timely inform you about all the vacancy statuses. At any stage, we can make shifts in the hiring campaign together.
We tailor job interviews for each NLP development role and domain. Whether it’s incorporating NLP in the existing processes or a solo NLP-based product — we dive deep into candidates’ backgrounds to highlight relevant skills.
To hire NLP engineers with the necessary experience, we launch a global talent search. That’s why you get to pinpoint candidate selection and meet skilled specialists within your budget.
We handpick NLP experts who align with your company culture. We foster an integrated work environment, which strengthens your business culture.
Outstaff Your Team can hire an NLP developer first and fill more team roles when needed. Stick to your business growth plan and scale your NLP team as your project evolves.
Delegate administrative routine such as contracts, payroll, benefits and trust us with HR management. NLP developers retention is covered by conducting regular pulse checks.
Natural language processing is used in chatbots, sentiment analysis, language translation, etc. With the rapid growth of unstructured text data and the need for improved human-computer interaction, the demand for NLP engineers for hire is predicted to grow up to 22% during the next 8 years. Professionals with NLP skills, including knowledge of deep learning and NLP frameworks, are sought after by companies looking to harness the power of language understanding in their products and services.
NLP plays a crucial role in enhancing the human-like qualities of Artificial Intelligence. It enables computers to engage with human language input, resulting in AI systems that are more human-friendly and approachable for human interaction. Transformer models, like GPT-3, suggest that NLP will continue to evolve, enabling more advanced language understanding and generation. NLP’s applications are expanding across industries, from healthcare to customer service, indicating sustained demand. Multilingual capabilities and the growth of voice assistants and conversational AI present further opportunities. By staying updated on NLP developments and industry trends, you can level up your tech business, especially customer support.
To secure a job in Natural Language Processing (NLP), a candidate should acquire a relevant education in fields like linguistics or computer science. Then, it’s needed to learn NLP fundamentals and programming languages such as Python. To gain experience, NLP developers start their careers by working on personal NLP projects, participating in competitions, attending NLP-related conferences and networking with professionals. Some specialists contribute to open-source NLP projects to show their interest in the field and become recognizable.
To fill NLP positions, we consider candidates who showcase appealing portfolios and confidently pass technical interviews by revisiting NLP concepts and practicing coding challenges. We hire NLP developers who are interested in ongoing learning.