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Remote Natural Language Processing Engineer Jobs in Edmond, OK

... Remote Access, and Password Safe solutions for our USAF customer. Beyond Trust is part of our ... As a BeyondTrust administrator you'll work with other engineers and administrators to test ...

... Remote Seat: Nobody walks by your desk to ask if you're stuck. When you see a broken process, a ... Exceptional written and verbal communication, with natural empathy across a wide range of clients

... Remote Seat: Nobody walks by your desk to ask if you're stuck. When you see a broken process, a ... Exceptional written and verbal communication, with natural empathy across a wide range of clients

Work with internal engineering and other teams to facilitate estimates, drawings and other related ... Safety-focused culture #LI-BB1 #LI-Remote Equal employment opportunity We welcome people from ...

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Remote Natural Language Processing Engineer information

See Edmond, OK salary details

$44.7K

$83.1K

$128.8K

How much do remote natural language processing engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote natural language processing engineer in Edmond, OK is $83,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $93,100.00 per year, depending on experience, location, and employer.

What does a remote natural language processing engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

What are the key skills and qualifications needed to thrive as a remote natural language processing engineer?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

How do remote natural language processing engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.

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

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What are popular job titles related to Remote Natural Language Processing Engineer jobs in Edmond, OK?

For Remote Natural Language Processing Engineer jobs in Edmond, OK, the most frequently searched job titles are:

What job categories do people searching Remote Natural Language Processing Engineer jobs in Edmond, OK look for?

The top searched job categories for Remote Natural Language Processing Engineer jobs in Edmond, OK are:

Senior Business Analyst - Fully REMOTE with Occassional Onsite meetings required in Oklahoma

RICEFW Technologies, Inc.

Oklahoma City, OK • On-site, Remote

$85K - $111K/yr

Contractor

Posted 9 days ago


Job description

Deadline
Aug 24, 2026 at 7:00 PM CT
Duration:- 5-7 years
Location & Schedule
• Remote & Oklahoma City, OK
In-person attendance may be required for some on-site meetings.
Description
The Teachers' Retirement System of Oklahoma (TRS) is undertaking a comprehensive, multi year modernization initiative to replace aging legacy systems-including full retirement of the ALICE platform-and transition to a unified, cloud native environment. This effort centers on building MyPAS 3.0, a modern Azure-hosted pension administration system that integrates seamlessly with MyTRS member portal and MyERS employer portal. TRS serves a large and diverse membership of over 210,000 employees and retirees across more than 600 school districts, career tech centers, colleges, and universities, making it the largest of Oklahoma's six state pension systems.
The modernization responds to longstanding challenges such as fragmented workflows, manual processes, limited scalability, and stability issues in legacy technologies. The initiative introduces a modern stack-Angular, REST APIs, Azure SQL Managed Instances, Azure Function Apps, Power BI, a document management and process automation solution (pending platform evaluation and alternatives)-to support scalable, secure, and efficient operations.
• Current state: o Legacy systems moved from on-premises hosting to Azure cloud migration May 2024 o MyTRS member portal modernized July 2025 o All IS resources support legacy systems while simultaneously building modernized ones o Project charter and Software Development Life Cycle established and in practice o Environment and foundation for modern applications defined and nearing completion • Expected outcomes: o All major systems operate on the Azure platform with improved performance, scalability, and maintainability. o Retirement of ALICE and elimination of legacy technical debt. o Reduced manual work, fewer errors, and significantly improved turnaround times. o A modern document storage and capture solution, with improved workflows and reduced fragmentation o Enhanced security posture. o Improved user satisfaction and accessibility. o Greater operational resilience and adaptability. o Reduced maintenance burden, lower infrastructure costs, and fewer workarounds through modern platform infrastructure. o All work products belong exclusively to TRS.
Requirements
Process Analysis and Documentation • Engage with business units to understand operational workflows, pain points, and improvement opportunities. • Interface with technical resources, such as Development or IT staff to understand and translate technical requirements. • Document current state processes using clear, structured methods such as process maps, swimlane diagrams, and workflow charts. • Facilitate discussions to define future state processes aligned with organizational goals. Requirements Gathering and User Story Development • Translate business needs into detailed functional requirements, acceptance criteria, and Azure DevOps work items/user stories. • Ensure requirements are complete, consistent, testable, and aligned with business priorities. • Collaborate with product owners, developers, and stakeholders to refine and validate requirements. Testing and Quality Assurance • Develop test plans, test scripts, and step-by-step testing instructions for functional and user acceptance testing. • Execute functional testing of user stories in Development and Test environments to validate solution accuracy and readiness. • Document defects, track resolution progress, and verify fixes. • Coordinate, support, or lead user acceptance testing (UAT) sessions with business stakeholders. Stakeholder Collaboration and Communication • Serve as a liaison between business units and technical teams to ensure shared understanding and alignment. • Communicate project updates, risks, and issues clearly and proactively. • Support change management activities by contributing to training materials, documentation, and user guidance.
Required Skills:
• Experience in business analysis, process documentation, or related roles.
• Strong analytical and problem solving skills
• Ability to create clear process diagrams and workflow documentation.
• Experience writing user stories, acceptance criteria, and test cases.
• Familiarity with DevOps or similar work item management tools.
• Hands on experience with functional testing and UAT coordination.
• Excellent communication and facilitation skills.