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Nlp Researcher Jobs in Colorado (NOW HIRING)

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Otter. The duration of this internship is 16 weeks with Summer, Fall, and ...

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Otter. The duration of this internship is 16 weeks with Summer, Fall, and ...

Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing ...

You will translate cutting-edge quantitative research and AI capabilities into scalable, revenue ... Practical experience applying modern AI/ML (transformers, LLMs, NLP, embeddings) to production ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ... anomaly detection, NLP, and generative AI. • Familiarity with financial data structures ...

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Nlp Researcher information

See Colorado salary details

$31.5K

$118.9K

$173K

How much do nlp researcher jobs pay per year?

As of Aug 24, 2026, the average yearly pay for nlp researcher in Colorado is $118,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $161,900.00 per year, depending on experience, location, and employer.

What does an NLP researcher do?

An NLP (Natural Language Processing) researcher studies and develops algorithms, models, and systems that enable computers to understand, interpret, and generate human language. Their work often involves areas such as machine learning, linguistics, data analysis, and deep learning. NLP researchers typically conduct experiments, analyze results, and publish findings to advance the state of the art in language technologies. They may work in academia, industry, or research labs, focusing on tasks like machine translation, sentiment analysis, question answering, and more.

What are the key skills and qualifications needed to thrive as an NLP researcher, and why are they important?

To thrive as an NLP Researcher, you need a strong foundation in computer science, linguistics, machine learning, and a relevant advanced degree (often a master's or PhD). Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers) is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for developing innovative solutions and collaborating with multidisciplinary teams. These skills and tools enable NLP Researchers to create state-of-the-art models, drive impactful research, and advance natural language technologies.

What are some common challenges faced by NLP researchers when working with real-world language data?

NLP Researchers often encounter challenges such as dealing with noisy, unstructured, and diverse language data that may include slang, typos, or code-mixed languages. Additionally, ensuring models perform well across different dialects and domains can be complex, requiring significant data preprocessing and model adaptation. Collaborating closely with data engineers and domain experts is common to address these issues, and staying updated with the latest research helps in applying cutting-edge solutions to practical problems.

What is the difference between Nlp Researcher vs Data Scientist?

AspectNlp ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, Linguistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academia, tech companies focusing on NLP projectsBusiness environments, analytics teams, diverse industries
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

While both roles involve data analysis and machine learning, Nlp Researchers specialize in developing and improving natural language processing algorithms, often working in research settings. Data Scientists focus on analyzing data to derive insights and support decision-making across various industries. The roles overlap in skills like programming and statistical analysis but differ in their primary focus and work environment.

Does NLP research pay well?

NLP research roles are generally well-paying, especially for those with advanced degrees and strong technical skills in machine learning and linguistics. Salaries vary by industry, experience, and location but tend to be competitive within the tech sector, with opportunities for growth as expertise in deep learning and large language models increases.
Infographic showing various Nlp Researcher job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,929 per year, or $57.2 per hour.

ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance

Kforce Federal Solutions

Colorado Springs, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions