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Language Research Jobs in Virginia (NOW HIRING)

JTG, inc.

Language Specialists

New York, NY · On-site

Language Specialists JTG is seeking Language Specialists to support authentic written and spoken ... Experience using Microsoft Office, audio playback/editing tools, and online research Preferred ...

George Mason University

Research Scientist

Fairfax, VA · On-site

Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time ... Knowledge of Fortran, Python, R, Database (Postgres, MySQL, SQLite), Shell program language skills.

Galois, Inc.

Research Engineer

Arlington, VA · On-site

This role will primarily focus on advancing the state of the art in programming language theory research and implementation. Researchers in this role will use their expertise in Formal Methods and ...

IQVIA

Research Coordinator

Fairfax, VA · On-site

Research Coordinators attend study teleconferences with sponsors and clinical research ... language, distress, lack of time, therapeutic misconception) * Describes and abides by ...

Virginia Tech

Research Assistant

Blacksburg, VA · On-site

$18/hr

Required Qualifications Must be flexible and enjoy fast-paced research environment Must be an effective communicator and understand English as a primary language Must have U.S. citizenship (cannot ...

Galois, Inc.

Research Engineer

Arlington, VA · On-site

This role will primarily focus on advancing the state of the art in programming language theory research and implementation. Researchers in this role will use their expertise in Formal Methods and ...

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All JobsLanguage Research JobsLanguage Research Jobs in Virginia

Language Research information

See Virginia salary details

$10

$36

$67

How much do language research jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for language research in Virginia is $36.34, according to ZipRecruiter salary data. Most workers in this role earn between $23.38 and $45.59 per hour, depending on experience, location, and employer.

What is language research?

Language research is the scientific study of language, including its structure, use, acquisition, and evolution. Researchers in this field analyze how people communicate, how languages differ and change, and how language relates to the brain and society. This work can involve linguistics, psychology, neuroscience, computer science, and education, and often contributes to advancements in technology, language learning, and understanding human cognition.

What are the key skills and qualifications needed to thrive in language research?

To thrive in Language Research, a strong background in linguistics, data analysis, and research methodologies, often supported by an advanced degree in linguistics or a related field, is essential. Familiarity with linguistic analysis software, corpus management tools, and programming languages such as Python or R is typically required. Attention to detail, critical thinking, and effective written communication distinguish top performers in this field. These skills enable researchers to produce rigorous, impactful findings and advance understanding in language-related domains.

How do language researchers typically collaborate with other team members in multidisciplinary projects?

Language researchers often work closely with professionals from fields such as computational linguistics, software engineering, and cognitive science. Collaboration usually involves sharing linguistic insights, contributing to project design, and interpreting language data for product or research development. Effective communication and the ability to translate complex linguistic concepts for non-specialists are key to success. Regular meetings, collaborative documentation, and cross-functional workshops are common practices that help ensure smooth collaboration and project progress.

What is the difference between Language Research vs Language Analyst?

AspectLanguage ResearchLanguage Analyst
Required CredentialsDegree in linguistics, language studies, or related fieldDegree in linguistics, language studies, or related field; often additional certification
Work EnvironmentAcademic, research institutions, or corporate R&DGovernment agencies, intelligence, security, or corporate security teams
Employer & Industry UsageUniversities, research centers, tech companiesGovernment agencies, defense, intelligence, security firms
Common Search & ComparisonResearch roles, academic positionsOperational, analysis, intelligence roles

Language Research focuses on studying languages, linguistics, and theoretical aspects, often within academic or R&D settings. Language Analysts apply linguistic skills to analyze language data for security, intelligence, or operational purposes. While both roles require similar educational backgrounds, their work environments and objectives differ significantly.

What are popular job titles related to Language Research jobs in Virginia?

For Language Research jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Language Research jobs in Virginia look for?

The top searched job categories for Language Research jobs in Virginia are:

Language Research jobs near you
Infographic showing various Language Research job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $75,594 per year, or $36.3 per hour.

Talent Intelligence Research Engineer

McChrystal Group

Alexandria, VA

$125K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

Position Overview: 

Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Talent Intelligence Research Engineer is the analytical engine behind that work. 

In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients' own workforce data. 

The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing? 

To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel. 

This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership. 

Workforce & Talent Intelligence

  • Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics. 

  • Develop methodologies to estimate or infer workforce attributes that are not directly observable. 

  • Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities. 

  • Produce actionable talent intelligence for client engagements. 

  • Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences. 

Research Engineering & Data Acquisition

  • Acquire data from public, commercial, and proprietary sources. 

  • Develop custom web scraping, extraction, and enrichment workflows to support research initiatives. 

  • Build one-off software tools and analytical applications required to answer specific business questions. 

  • Evaluate data quality, completeness, and reliability across multiple sources. 

  • Rapidly learn and apply new technologies, techniques, and datasets as project requirements evolve. 

Machine Learning, AI & Advanced Analytics

  • Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems. 

  • Develop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate. 

  • Leverage large language models and modern AI tooling to accelerate research and insight generation. 

  • Design experiments and validation approaches to assess analytical accuracy and reliability. 

  • Translate analytical outputs into practical business recommendations. 

Consulting & Collaboration

  • Partner with consultants, researchers, and client-facing stakeholders to understand business challenges. 

  • Contribute to the development of proprietary talent intelligence methodologies and intellectual property. 

  • Support client engagements through research, analytical problem solving, and technical expertise. 

  • Present research findings and recommendations to clients and internal stakeholders. 

  • Share tools, approaches, and best practices across the organization. 

Qualifications:

Required Qualifications 

  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field. 

  • 4-6 years of relevant experience 

  • Experience conducting independent analytical or research-oriented projects. 

  • Strong programming skills, particularly in Python. 

  • Strong analytical reasoning and problem-solving abilities. 

  • Ability to work effectively in ambiguous environments with limited precedent or direction. 

  • Excellent written and verbal communication skills. 

  • Experience with labor market, workforce, recruiting, compensation, or organizational data. 

  • Experience working with large structured and unstructured datasets. 

  • Must be able to obtain and maintain a U.S. Government security clearance. 

Preferred Qualifications 

  • Experience with web scraping, data acquisition, and information extraction. 

  • Experience with machine learning, NLP, or AI-assisted analytics. 

  • Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments. 

$125,000 - $190,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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