Remote Natural Language Processing engineer jobs

We, at Turing, are looking for talented remote Natural Language Processing (NLP) engineers who will be responsible for transforming natural language data into useful features using NLP techniques. Get a chance to work with top Silicon Valley companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Select appropriate annotated datasets for supervised learning methods
  • Use effective text representations to transform natural language into useful features
  • Find and implement the right algorithms and tools for NLP tasks
  • Design and develop NLP systems as per the requirements
  • Train the developed model and run evaluation experiments
  • Perform statistical analysis and refine models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Stay updated in the rapidly changing field of AI and ML

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • 3+ years of experience as an NLP or Machine Learning engineer (rare exceptions for highly skilled developers)
  • Extensive knowledge of NLP techniques and algorithms
  • Experience working on text representation, semantic extraction techniques, data structures, and modeling
  • Experience with back-end technologies such as Python, Java, and R
  • Working knowledge of machine learning frameworks (like Keras or PyTorch) and libraries
  • Familiarity with big data frameworks such as Spark and Hadoop
  • Knowledge of text representation techniques, statistics, and classification algorithms
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4-hour overlap with US time zones

Preferred skills

  • Familiarity with machine translation and compilation
  • Knowledge of CI/CD pipelines, syntactic, and semantic parsing
  • Ability to write robust and testable code
  • Excellent analytical and interpersonal skills
  • Ability to work independently as well as with a team

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How to become a Natural Language Processing (NLP) engineer ?

Natural language processing (NLP) is a combination of computer science, information science, artificial intelligence (AI), and linguistics. The field of natural language processing (NLP) is concerned with the interaction between computers and human languages.

While computers excel at managing organized information, they require some assistance when dealing with human languages. There are hundreds of languages and dialects, each with its own set of grammatical rules, slang, terminology, and syntax.

Have you ever wondered how Google or Alexa can interpret your words? That's NLP at work! As a result, NLP Engineers are in charge of the programming that enables technology to interpret and evaluate natural language input.

Because of its ubiquity, NLP is a popular choice for companies wishing to start a web development project. Developers that have worked with these technologies before are in great demand. If you're on the fence about applying for remote Natural Language Processing developer jobs, you have many opportunities waiting for you.

What is the scope of Natural Language Processing development?

NLP will rise in popularity as the amount of available data keeps expanding, and algorithms become more complex and accurate. It's changing the way humans and robots interact with one another. The aforementioned applications of NLP demonstrate that it is a technology that significantly enhances our quality of life.

Unstructured information makes up as much as 80% of what we encounter. As a result, NLP is one of the most important topics of data science. Organizing this data is a significant task that various scholars are tackling on a daily basis. NLP is advancing at a rapid pace, and we may anticipate it to impact more and more facets of our life in the future.

Do you feel compelled to apply for remote Natural Language Processing (NLP) engineer jobs based on these recommendations? To discover more, let's go a little further into the duties and responsibilities.

What are the roles and responsibilities of a Natural Language Processing (NLP) engineer?

To design and construct the next generation of a company's mobile apps, Natural Language Processing (NLP) engineers cooperate with a team of skilled engineers. In order to produce the product, other app developments and technical teams collaborate closely with the developers.

A developer's key responsibilities after securing remote Natural Language Processing (NLP) engineer jobs are as follows:
System design and development for natural language processing

  • Define language learning datasets that are relevant.
  • Use powerful text representations to convert natural language into valuable characteristics.
  • Develop NLP systems in accordance with specifications.
  • Experiment with the created model and train it.
  • For NLP jobs, find and use the correct algorithms and tools.
  • Analyze the data statistically and improve the models
  • Maintain a constant level of knowledge in the field of machine learning.
  • Maintain NLP frameworks and libraries
  • Implement changes as needed and analyze bugs

How to become a Natural Language Processing (NLP) engineer?

Let's have a look at the processes to become a Natural Language Processing (NLP) engineer. To begin, keep in mind that working as a Natural Language Processing (NLP) engineer does not necessitate any academic degree. Whether you're a graduate or non-graduate, brilliant or inexperienced, you can grasp Natural Language Processing (NLP) and make a career out of it. Practical experience and understanding of appropriate technical and non-technical abilities are all that are required.

You may have heard, though, that remote Natural Language Processing (NLP) engineer jobs need a bachelor's or master's degree in computer science or a related field. This is true for a variety of reasons. For starters, you'll have a fundamental grasp of all technologies. Second, a degree guarantees a developer's competence in the subject, giving you an advantage over other applicants in interviews.

Let's take a look at some of the skills and methods that might help you acquire a job as a Natural Language Processing (NLP) engineer.

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Skills required to become a Natural Language Processing (NLP) engineer

To fetch high-paying Natural Language Processing (NLP) engineer jobs, the first step is to learn the following core skills.

1. Text Processing

Learning the most significant methods for text processing is one of the most important ideas to deal with in programming languages. Working with strings in a computer language should come naturally to you; understanding how to manipulate text back and forth, utilizing regular expressions, and slicing strings are just a few of the most critical skills to have while working in Natural Language Processing. Therefore, be familiar with the text process to land the best remote Natural Language Processing (NLP) engineer jobs

2. NLTK Library

Natural Language Toolkit Library, or NLTK, is one of the earliest Natural Language Processing libraries available. But the library, which was initially published 20 years ago, is one of the greatest tools for understanding some of the principles of NLP. The following are some of the library's well-organized resources:

  • Stemmers range in complexity from elementary to complicated.
  • Splitting your corpus into sentences or words is possible with tokenizers.
  • Part-of-Speech taggers include both off-the-shelf and bespoke frequency taggers.
  • Lemmatization of words.
  • N-Grams are a set of notions.

In most NLP applications, these ideas are essential for understanding text normalization and text processing. Understanding the NLTK library will allow you to learn the abilities needed to create an NLP pipeline from the ground up. Even if you don't use these strategies in your NLP pipelines, having these tools in your toolbox is always a good idea. If you learn how to use them, impressing recruiters for remote Natural Language Processing (NLP) engineer jobs will be a cakewalk for you.

3. Reading Text Data

In the last decade, the massive volume of text data traveling on the internet has expanded tremendously. Aside from gathering data from the internet, NLP practitioners (like most data scientists) must deal with a variety of files in various formats.

Anyone working in NLP should be able to read text data from a variety of sources; for example, CSV and JSON files are standard text corpus formats that must be imported into your workspace before you can start working on your NLP application.

4. Word Vectors

Word vectors are one of the most essential strategies in NLP today, and they're also very helpful in understanding how Artificial Neural Networks are employed in NLP.

Understanding and studying most Word Vectors is vital not just for NLP, but also for general Machine Learning. You will be exposed to the inner working mechanics of Neural Networks, one of the most significant models in machine learning today, through learning them. Backpropagation, weight optimization, activation functions, and gradient descent will all be covered, which should give you an excellent head start on running and building numerous Neural Network models. Therefore, during the recruitment for remote Natural Language Processing (NLP) engineer jobs, technical recruiters always test NLP engineers' knowledge on this and how developers used these for previous projects.

5. Recurrent Neural Networks

Text creation is another area of Natural Language Processing that has seen significant advancements because of the use of Neural Networks.

The design of Neural Networks used in text production differs from that used in Word Vectors or Text Classification. Known as Recurrent Neural Networks, these forms of NNs have many methods for storing and updating data that is typical of chained data like sentences.

Interested in remote Natural Language Processing (NLP) engineer jobs?

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How to get remote Natural Language Processing (NLP) engineer jobs?

Athletes and Natural Language Processing (NLP) engineers share many similarities. They must practice successfully and on a regular basis in order to be the greatest in their field. They should also put in enough effort to improve their talents over time. When practicing, Natural Language Processing (NLP) engineers should enlist the support of a Natural Language Processing (NLP) expert who is successful in the area, as well as employ more effective practice strategies. Knowing how much to practice as a Natural Language Processing (NLP) engineer is critical. So enlist the services of a Natural Language Processing (NLP) engineer and keep an eye out for burnout indications!

Turing provides the top remote Natural Language Processing (NLP) engineer jobs to help you reach your professional goals as a Natural Language Processing (NLP) engineer. We allow you to work on challenging technical and business challenges utilizing cutting-edge technology, allowing you to swiftly enhance your abilities. Get full-time, long-term remote Natural Language Processing (NLP) engineer employment with greater income and professional progress by joining a network of the world's greatest Natural Language Processing (NLP) engineers.

Why become a Natural Language Processing (NLP) engineer at Turing?

Elite US jobs
Career growth
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Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Natural Language Processing (NLP) engineers?

Every Natural Language Processing (NLP) engineer at Turing has the ability to select their own pace. Turing, on the other hand, will suggest a wage to the Natural Language Processing (NLP) engineer that we believe will provide you with a rewarding and long-term opportunity. Our compensation suggestions are based on our research into market conditions as well as consumer desire.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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