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Remote Natural Language Processing Jobs in Atlanta, GA

Senior Data Scientist

Atlanta, GA ยท On-site +1

$146K - $304K/yr

... natural language processing (NLP). * Highly proficient in Python and working knowledge of at least one other programming language such as Java, C++. * Extensive experience with AI/ML frameworks and ...

Data Scientist

Atlanta, GA ยท On-site +1

$99K - $225K/yr

Experience with natural language processing, text mining, or machine learning techniques * Ability ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Senior Platform Engineer

Atlanta, GA ยท Remote

$100K - $138K/yr

... natural language understanding platforms. In this role, you will collaborate closely with both ... the tools and processes necessary for monitoring performance, availability, and reliability ...

AI LLM Engineer

Atlanta, GA ยท On-site +1

Develop AI copilots and natural language interfaces over enterprise data platforms (Snowflake ... process, please fill out the accommodations form here. If you're unable to complete the form, you ...

Remote Job Overview We are seeking Russian Bilingual Experts to support a language and AI training ... Maintain consistent quality and attention to detail throughout the evaluation process. Required ...

Strong Dutch language expertise, English communication skills, and attention to detail are the key ... Maintain a high level of attention to detail throughout the review and submission process. Required ...

English Voice Coach - Remote

Atlanta, GA ยท Remote

$50 - $60/hr

You will assess pronunciation, accents, fluency, natural speech patterns, and audio quality while ... Experience in linguistics, phonetics, language teaching, media, or communications . * Previous ...

Senior eDiscovery Analyst

Atlanta, GA ยท Remote

$88K - $112K/yr

... natural-language prompts/issue descriptions, sampling and quality-checking model output, and ... Process and review data from cloud and collaboration sources. (e.g., Microsoft 365 / Purview ...

Adabas mainframe

Atlanta, GA ยท Remote

$50.25 - $64.50/hr

... 100% REMOTE | WEEKEND WORK Responsibilities include: Monitor automation messages for database ... ADABAS database on mainframe (level 8.x.x)NATURAL language on mainframe (level 9.x.x)FTP,Rexx Agile ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... natural language querying, and agent-based workflows * Build and evolve semantic and analytical ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... natural language querying, and agent-based workflows * Build and evolve semantic and analytical ...

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... natural language querying, and agent-based workflows * Build and evolve semantic and analytical ...

Showing results 21-40

Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What are the key skills and qualifications needed to thrive as a remote natural language processing specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

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

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

What are the most commonly searched types of Natural Language Processing jobs in Atlanta, GA?

The most popular types of Natural Language Processing jobs in Atlanta, GA are:

Infographic showing various Remote Natural Language Processing job openings in Atlanta, GA as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Senior Data Scientist

Omnissa

Atlanta, GA โ€ข On-site, Remote

$146K - $304K/yr

Full-time

Medical, Retirement

Re-posted 7 days ago


Key responsibilities

  • Lead the design and development of advanced data science and machine learning analytics models.

  • Work with engineers to design and implement scalable machine learning pipelines for all stages from data ingestion to deployment.

  • Collaborate with cross-functional teams to integrate ML solutions into core platform features and services.


Job description

Job Description:

We areOmnissa!
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management,Virtual Appsand Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement whileoptimizingIT operations, security, and cost.
Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we'regrowing rapidly and committed to delivering meaningful impact. Ifyou'repassionate about shaping the future of work,we'dlove to hear from you.

AtOmnissa, we are committed tomaintaininga fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respectforcandidate privacy.


What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
As a Senior Data Scientist, you will lead and innovate within the data science team to drive significant advancements in our AI/ML and data analytics capabilities. This is a hands-on role, and you will be expected to develop AI/ML based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company's vision through advanced analytics, machine learning, and artificial intelligence. You'll work closely with engineering and product teams to operationalize models across our cloud scale environment
while driving best in class ML engineering practices. Here's a breakdown:

  • Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data.
  • Work with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems.
  • Leverage key technologies and state-of-the-art tools necessary for exploring/querying data, visualization, and advanced analytics - distribution of key attributes, relationships between attributes, feature engineering, and statistical analyses.
  • Be an expert in and lead the development of AI/ML solutions based on Large Language Models (LLMs), Retreival Augmented Generation (RAG), and AI Agents.
  • Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  • Design and implement prompt engineering strategies to optimize the performance of LLM based applications.
  • Collaborate with cross functional teams to integrate ML solutions into core platform features and services.


What will you bring to Omnissa?

  • 5+ years of experience in data science or machine learning engineering roles.
  • Hands-on experience with one or more of the following areas is required; experience across multiple areas is strongly preferred: supervised and unsupervised learning, classification and regression, clustering, time-series analysis, anomaly detection, recommendation systems, reinforcement learning, information retrieval, and natural language processing (NLP).
  • Highly proficient in Python and working knowledge of at least one other programming language such as Java, C++.
  • Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers.
  • Hands-on experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  • Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems.
  • Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
  • Familiarity with cloud platforms and tools such as AWS, Azure, of Google Cloud for development and deployment of scalable AI/ML models.
  • Experience with distributed computing frameworks (e.g., Spark, Ray).

Location:Mountain View, CA or Atlanta, GA
Location Type:hybrid
Travel Expectations:None
Education:Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation: The typical base salary for this role is betweenUSD $146,287- $304,750per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation,Omnissaoffers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth opportunities, and more.

Omnissais an EqualEmploymentOpportunitycompanyandProhibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions atOmnissaare based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.Omnissawill not tolerate discrimination or harassment based on any of these characteristics.Omnissawelcomes applicants of all ages.Omnissawill provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal,stateand local law.

This job requisition is not eligible for employment-based immigration sponsorship byOmnissa.