21 Remote NLP Engineer Jobs

Explore flexible and work from home nlp engineer positions available worldwide. Your career in truly remote companies - apply today.

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📝 NLP Engineer
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21 Jobs
🆕 Date Added

February 8

Join Boosters as an NLP Engineer to enhance NLP solutions for JustDone, an AI Writing Assistant.

January 21

As a Senior NLP Engineer at SDG, develop and enhance AI models for social discovery platforms. Collaborate with cross-functional teams to integrate AI solutions effectively.

January 16

Join Mango Languages as a Computational Linguist, driving AI/NLP innovations in language learning. Collaborate on state-of-the-art technologies for global language education.

November 10, 2024

Develop NLP systems for Increasingly's automation of cross-selling technology.

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Top Companies Hiring Remote NLP Engineers

PlantingSpace

11 - 50

💰 Seed Round on 2021-11

Job Openings

Remote NLP Engineer Salary Expectations

The average salary for remote nlp engineers is $97,500 per year. This is based on data from 1 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

ExperienceNumber of roles analyzedAverage Salary

🟢 Junior NLP Engineer (1-2 yrs)

1$97,500

Frequently asked questions

You need strong programming skills in languages like Python or Java, proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), and a solid understanding of natural language processing techniques. Analytical thinking, problem-solving, and effective communication skills are also important for remote work.

Typically, a degree in computer science, artificial intelligence, or a related field is required. Relevant experience in NLP projects and a portfolio showcasing your work can be more important than formal qualifications. Certifications in machine learning or NLP can enhance your profile.

Responsibilities include developing NLP models, preprocessing and analyzing textual data, training and fine-tuning algorithms, conducting experiments to improve model performance, and collaborating with data scientists and stakeholders to implement solutions.

Benefits include flexible work hours, the opportunity to work from any location, access to global job markets, and a chance to work on innovative projects. Remote positions often lead to a better work-life balance and reduced commuting expenses.

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