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Freelance Natural Language Processing Jobs in Georgia

D. preferred • 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications ...

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

... and natural language processing. ● Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch). ● Design secure and compliant AI/ML ...

Position Overview We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

Strong technical expertise in machine learning, deep learning, and natural language processing. * Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google ...

... natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities ...

... natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... natural language processing (NLP) techniques preferred. • Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred. • Knowledge of cloud computing platforms such as AWS ...

New

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... natural language processing (NLP) techniques preferred. · Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred. · Knowledge of cloud computing platforms such as AWS ...

New

Artificial Intelligence Intern

Atlanta, GA

$14.25 - $19/hr

... natural language processing (NLP) techniques preferred. · Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred. · Knowledge of cloud computing platforms such as AWS ...

New

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... natural language processing (NLP) techniques preferred. • Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred. • Knowledge of cloud computing platforms such as AWS ...

New

Showing results 41-60

Freelance Natural Language Processing information

What is a freelance natural language processing specialist?

A Freelance Natural Language Processing (NLP) specialist is an independent professional who works on projects involving the interaction between computers and human language. They use techniques from linguistics, computer science, and artificial intelligence to develop systems that can understand, interpret, and generate human language. Freelance NLP specialists typically work on tasks such as text analysis, machine translation, chatbots, sentiment analysis, and speech recognition for various clients or organizations. Their work often involves using programming languages like Python and tools such as TensorFlow or spaCy.

What skills and qualifications are needed to thrive as a freelance natural language processing specialist?

To thrive as a Freelance Natural Language Processing Specialist, you need a solid background in computational linguistics, machine learning, and programming (Python is essential), typically supported by a relevant degree or demonstrated project experience. Proficiency with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, and familiarity with tools such as Jupyter Notebook or cloud platforms is highly valued. Strong problem-solving, communication, and self-management skills help freelancers stand out by enabling effective client collaboration and project delivery. These competencies are crucial for producing accurate, efficient NLP solutions and maintaining a successful freelance business.

What are common challenges freelance natural language processing professionals face when working with clients?

Freelance NLP professionals often encounter challenges such as clearly defining project goals, managing client expectations regarding data quality and model performance, and ensuring access to adequate datasets. Since projects can range from text classification to chatbot development, freelancers must communicate technical constraints and timelines effectively with non-technical stakeholders. Balancing multiple projects and staying updated with evolving NLP technologies are also key aspects of the role, requiring strong time management and continuous learning.

What is the difference between Freelance Natural Language Processing vs Data Scientist?

AspectFreelance Natural Language ProcessingData Scientist
CredentialsTypically requires expertise in NLP, programming, and data analysis; certifications are optionalOften requires degrees in data science, statistics, or related fields; certifications can be beneficial
Work EnvironmentIndependent, project-based, remote or freelance settingsFull-time or contract roles within organizations, often in office or remote
Industry UsageUsed across tech, healthcare, finance, and research sectors for language-related projectsApplied broadly in tech, finance, healthcare, and consulting for data-driven decision making

Freelance Natural Language Processing specialists focus on language-specific projects independently, while Data Scientists work on broader data analysis tasks within organizations. Both roles require strong analytical skills, but their work environments and project scopes differ significantly.

What are the most commonly searched types of Natural Language Processing jobs in Georgia?

The most popular types of Natural Language Processing jobs in Georgia are:

What are popular job titles related to Freelance Natural Language Processing jobs in Georgia?

For Freelance Natural Language Processing jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Freelance Natural Language Processing jobs in Georgia look for?

The top searched job categories for Freelance Natural Language Processing jobs in Georgia are:

What cities in Georgia are hiring for Freelance Natural Language Processing jobs?

Cities in Georgia with the most Freelance Natural Language Processing job openings:

Infographic showing various Freelance Natural Language Processing job openings in Georgia as of July 2026, with employment types broken down into 49% Internship, and 51% Contract. Highlights an 100% In-person job distribution.

Full-time

Re-posted 5 days ago


Job description

Position Overview

We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management business.

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled orchestration into existing workflows and the development of scalable backend services that enable intelligent, conversational platforms. The ideal candidate combines strong backend engineering skills with the ability to work closely with business and global technology stakeholders.

Key Responsibilities

            Design, develop, and maintain Python-based backend services supporting NLP and chatbot solutions

            Contribute to technology transformation initiatives, driving innovation and adoption of cloud-native platforms

            Collaborate with business stakeholders to understand requirements, priorities, and objectives

            Translate business needs into robust, scalable, and secure technical solutions

            Act as a local liaison between New York and India technology teams, ensuring effective communication and delivery alignment

            Build and maintain strong, long-term partnerships with business and technology stakeholders

            Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where technology can improve business outcomes

            Support development, testing, deployment, and operational readiness of applications

Required Skills & Experience

            Full stack development with strong knowledge in Python in a Unix environment.

            SOA: Webservices (REST/SOAP), XML/JSON Processing, Swagger, Open Spec

            Experience with Gen AI based applications, LLM, Agentic, RAG and Vector DB

            Messaging:  IBM MQ/JMS

            Source Control, Build Packaging: Git, Ivy, Maven/Gradle

            Object Oriented Analysis and Design, SOLID principles, Clean code, Refactoring, Design patterns

            Test Automation (Unit Test and/or Functional Testing)

            Solution Design and Architecture

            Distributed application design

            Cloud architectures, Performance Engineering, Scaling

            Deep familiarity with modern software development and design concepts encompassing a range of languages and platforms.

            Experience building and consuming RESTful APIs

            Ability to work effectively in a global, distributed team environment

Good-to-Have Skills

            Experience in Web Development using modern UI frameworks (Bootstrap or similar)

            Knowledge of PowerShell or Unix shell scripting

            Experience with CI/CD pipelines using tools such as:

o            TFS / Azure DevOps

o            Jenkins

o            TeamCity

o            Build and release automation

o            A/B testing frameworks

            Experience developing cloud-native applications on:

o            AWS, Azure, or OpenShift

            Familiarity with workflow orchestration tools

            Understanding of Microservices and Serverless architectures