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Natural Language Processing Jobs in Athens, GA (NOW HIRING)

Munich Re

Principal Data Scientist

Athens, GA · On-site +1

Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience with Databricks or similar big data ...

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Natural Language Processing information

See Athens, GA salary details

$13

$24

$46

How much do natural language processing jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for natural language processing in Athens, GA is $24.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $28.56 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What cities near Athens, GA are hiring for Natural Language Processing jobs?

Cities near Athens, GA with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Athens, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $51,163 per year, or $24.6 per hour.

Senior Software Engineer - Contact Center Technology

ASCENSUS

Athens, GA • Remote

$118K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

At Ascensus, we are building a team that is empowered to use AI to solve the business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation.

We are looking to add a software engineer who will design, develop, and support conversational AI solutions that enhance customer and associate experiences across our contact center platforms. This role combines software engineering, generative AI, prompt engineering, and customer engagement technologies to deliver virtual agents, intelligent self-service capabilities, agent assist solutions, and AI-powered business workflows. If you're AI-Forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You'll work with a modern tech stack including Python, .NET, Azure OpenAI, LangChain, PostgreSQL, Docker, Cursor, Git, Azure DevOps, NICE CXone, AI Agents, and conversational AI technologies to deliver high value software to our business.

Section 2: Job Functions, Essential Duties and Responsibilities

Design, develop, test, and maintain conversational AI experiences including voice bots, chatbots, virtual assistants, and agent-assist solutions using NICE CXone, Azure OpenAI, and related technologies.

Create and optimize conversational flows, prompts, intents, and knowledge retrieval mechanisms to improve customer and associate experiences.

Analyze conversation transcripts and interaction data to continuously improve AI accuracy, containment rates, and customer satisfaction.

Develop integrations between NICE CXone and internal systems using APIs, event-driven architectures, and AI services.

Support the design and implementation of intelligent routing, self-service, and automation capabilities within the contact center ecosystem.

Partner with contact center business teams to identify opportunities for AI-driven process automation and customer experience improvements.

Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents.

Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value.

Monitor AI solution performance and implement safeguards to ensure accuracy, compliance, reliability, and responsible AI usage.

Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines.

Work with PostgreSQL and other data technologies to design efficient, reliable data models.

Develop and consume REST APIs to enable seamless integration across services and platforms.

Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team.

Contribute to the evolution of our AI-driven development environment using tools like Cursor.

Stay current with emerging technologies and bring a mindset of continuous learning and experimentation.

Section 3: Experience, Skills, Knowledge Requirements

A strong interest in leveraging AI and the latest tools to drive innovation and efficiency.

Extensive experience using .NET to develop web applications and back-end services

Extensive experience designing, developing, and integrating REST APIs in distributed systems and enterprise applications.

Ability to design, develop, test, and maintain scalable MCP server architectures using Python

Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code.

Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks.

Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability.

Experience with NICE CXone or similar contact center platforms such as Genesys, Five9, Amazon Connect, or Cisco Contact Center.

Understanding of contact center operations, including inbound and outbound customer engagement.

Familiarity with IVR design, intelligent routing, call flows, skills-based routing, and self-service automation.

Experience integrating contact center platforms with CRM, case management, and enterprise business systems.

Experience designing, implementing, or supporting virtual agents, chatbots, voice bots, or conversational AI platforms.

Understanding of natural language processing (NLP), natural language understanding (NLU), speech recognition, and text-to-speech technologies.

Experience evaluating and improving AI-generated responses for accuracy, effectiveness, and customer experience outcomes.

Experience working with other developers, quality engineers (QE), ops engineers and support engineers to ensure smooth deployment and continual operation

Strong problem-solving skills, attention to detail, and a passion for learning and applying new technologies.

Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.

Familiarity or experience with Agile engineering practices (test driven development, continuous integration and pair programming, etc.

Ability to work with legacy systems while contributing to modernization efforts.

Familiarity with Agile methodologies and open-source development practices.

The national average salary range for this role is$100K-160K in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visitcareers.ascensus.com/#Benefits

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

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