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Forensic Linguist Jobs (NOW HIRING)

Childrens Legacy Center

Family Advocate

Redding, CA · On-site

$25 - $30/hr

Provide guidance, resources, and emotional support to caregivers during forensic interviews ... diverse linguistic, cultural, and accessibility needs. * Provide case management and follow-up ...

Children's Legacy Center

Family Advocate

Redding, CA · On-site

$25 - $30/hr

Provide guidance, resources, and emotional support to caregivers during forensic interviews ... diverse linguistic, cultural, and accessibility needs. * Provide case management and follow-up ...

Leidos

Hausa/Chinese Triage Examiners

Bethesda, MD · On-site

Triage Examiners should be experienced in general linguist operations and Document and Media ... Familiarity with Digital Forensics/eDiscovery/Document and Media Exploitation (DOMEX) processes and ...

Leidos

Chinese Triage Examiner

Bethesda, MD · On-site

Triage Examiners should be experienced in general linguist operations and Document and Media ... forensic examination tools and will identify and prioritize items of importance for further ...

Leidos

Hausa/Spanish Triage Examiners

Bethesda, MD · On-site

Triage Examiners should be experienced in general linguist operations and Document and Media ... Familiarity with Digital Forensics/eDiscovery/Document and Media Exploitation (DOMEX) processes and ...

Leidos

Chinese Triage Examiner

Bethesda, MD · On-site

Triage Examiners should be experienced in general linguist operations and Document and Media ... forensic examination tools and will identify and prioritize items of importance for further ...

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Forensic Linguist information

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How much do forensic linguist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for forensic linguist in the United States is $85,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Forensic Linguist, and why are they important?

To thrive as a Forensic Linguist, you need a solid background in linguistics, forensic analysis, and often an advanced degree in linguistics or a related field. Expertise in forensic software tools, audio analysis systems, and familiarity with legal documentation are typically required. Strong attention to detail, analytical thinking, and clear written communication help a forensic linguist interpret language evidence effectively. These skills are vital for providing accurate linguistic analysis in legal contexts, supporting investigations, and ensuring the credibility of expert testimony.

What are forensic linguists and what do they do?

Forensic linguists are language experts who apply their knowledge of linguistics to legal cases and investigations. They analyze language in written or spoken form to help determine authorship, detect plagiarism, interpret ambiguous legal texts, or provide evidence in court cases. Their work can involve examining ransom notes, threatening letters, trademarks, confessions, and even voice recordings to assist law enforcement, lawyers, and the courts. Forensic linguists play a crucial role in ensuring that language evidence is correctly interpreted and fairly presented in legal settings.

Are forensic linguists in demand?

Forensic linguists are increasingly in demand due to the need for linguistic analysis in legal cases, criminal investigations, and cybersecurity. Their expertise in analyzing language patterns, authorship, and communication can be critical in solving cases, and demand is expected to grow with advancements in digital communication and forensic technology.

What is the difference between Forensic Linguist vs Forensic Psychologist?

AspectForensic LinguistForensic Psychologist
Required CredentialsMaster's or Ph.D. in Linguistics, forensic certificationDoctorate in Psychology, licensure, forensic specialization
Work EnvironmentLegal settings, crime labs, courtsCourts, law enforcement, correctional facilities
Industry UsageLegal cases involving language analysisLegal cases involving mental health assessments
Common Search/ComparisonYesYes

While both forensic linguists and forensic psychologists work within the legal system, forensic linguists focus on analyzing language in legal cases, whereas forensic psychologists assess mental health and behavior. Their credentials, work environments, and roles differ, but both contribute crucial expertise to criminal investigations and court proceedings.

Where can you work as a forensic linguist?

Forensic linguists can work in government agencies, law enforcement, private consulting firms, and academic institutions. They analyze language evidence for criminal investigations, legal cases, and security purposes, often requiring specialized training and knowledge of linguistic analysis tools.

How does a forensic linguist typically collaborate with law enforcement and legal teams during an investigation?

Forensic linguists work closely with law enforcement officers, attorneys, and other forensic experts to analyze language evidence such as written threats, ransom notes, or disputed authorship in legal cases. They often participate in case briefings to clarify linguistic findings, explain their methodologies, and provide expert testimony if the case goes to court. Effective communication and the ability to translate complex linguistic concepts into clear, actionable insights are essential, as their analyses can significantly influence case outcomes. Collaboration can also involve joint reviews of evidence and regular updates to ensure all stakeholders are informed throughout the investigative process.

What does a forensic linguist do?

A forensic linguist analyzes language use in legal cases to identify authorship, interpret meaning, or detect deception. They examine written or spoken communication, often using linguistic tools and techniques, to provide expert testimony in court. This role requires strong language skills, attention to detail, and knowledge of legal procedures.

How much money does a forensic linguist make?

Forensic linguists typically earn between $50,000 and $100,000 annually, depending on experience, education, and the complexity of cases. Senior professionals or those working in specialized areas may earn higher salaries, especially with certifications and extensive expertise in linguistic analysis tools.
More about Forensic Linguist jobs
What states have the most Forensic Linguist jobs? States with the most job openings for Forensic Linguist jobs include:
What job categories do people searching Forensic Linguist jobs look for? The top searched job categories for Forensic Linguist jobs are:
Forensic Linguist jobs near you
Infographic showing various Forensic Linguist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 1% Temporary, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,177 per year, or $41 per hour.
Associate Principal/Forensic AI Engineer (Forensic Services practice)

Associate Principal/Forensic AI Engineer (Forensic Services practice)

Charles River Associates

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

About Charles River Associates
CRA is a leading global consulting firm that provides independent economic and financial analysis behind litigation matters, guides businesses through critical strategy and operational issues to become more profitable, and advises governments on the economic impact of policies and regulations. Our two main services - economic and management consulting - are delivered by practice groups that focus on specific areas of expertise or industries. Click here to learn how CRA can help you launchyour career.
Position Overview
CRA's Forensic Services practice supports companies' commitment to integrity by assisting them and their counsel in independently responding to allegations of fraud, waste, abuse, misconduct, and non-compliance. We are noted for deploying cross-trained teams of forensic professionals to assist our clients in gaining deeper insights and greater value more quickly. We provide technical development, expert, and forensic services as well as cybercrime investigation services.
As an Associate Principal, you will lead projects that sit at the intersection of artificial intelligence, full stack development, forensic investigation, synthetic media analysis, and litigation support. In this role, you will serve as a key subject matter expert, builder, and technical advisor across a portfolio of unique client problems , including matters involving large language model (LLM) misuse, AI-generated content authentication, deepfake detection, and AI-enabled fraud. You will lead, learn from, and work alongside a team of like-minded, supportive, and highly technical colleagues.
A day in the life consists of collaborating across client matters, supporting forensic investigations, advising upon AI governance and synthetic media standards, building and deploying detection tooling, conducting structured and unstructured data analysis, and staying current with rapidly evolving developments in the generative AI and AI forensics space.
As an Associate Principal, you will:
  • Support our dev team in building unique AI-based solutions for our clients.
  • Lead and support technical vision and execution for forensic investigations involving AI-generated content, large language model misuse, deepfake media, synthetic voice and video, and AI-enabled fraud or misconduct.
  • Develop, deploy, and validate deepfake detection pipelines and multimodal AI forensic tooling to analyze and authenticate text, image, audio, and video evidence at scale.
  • Perform AI content attribution and provenance analysis, including authorship attribution for LLM-generated text, model fingerprinting, training data inference, and C2PA (Coalition for Content Provenance and Authenticity) manifest analysis.
  • Apply LLM-based analytical frameworks, including retrieval-augmented generation (RAG) pipelines, structured output generation, and document intelligence, to accelerate investigation workflows and enhance analytical throughput.
  • Conduct adversarial prompt analysis, prompt injection detection, and evaluation of AI system vulnerabilities in the context of client incidents, regulatory matters, and litigation.
  • Design and build forensic data pipelines and investigatory tooling used to process and analyze large and varied datasets, including unstructured text corpora, media archives, model outputs, and system logs.
  • Serve as technical subject matter expert advising legal counsel and corporate executives on complex AI, generative media, and data integrity challenges , translating sophisticated technical findings into defensible, plain-language expert reports and testimony suitable for judicial and regulatory audiences.
  • Deliver training programs for clients and internal colleagues on responsible LLM use, AI-generated content identification methodologies, forensic readiness, and AI governance frameworks.
  • Lead cross-functional engagements requiring coordination across technical analysis, legal strategy, digital forensics, and stakeholder communication under aggressive deadlines.
  • Mentor junior team members.
  • Contribute to internal initiatives, thought leadership, and practice development.

Education
  • Bachelor's degree required; Computer Science, Electrical Engineering, Data Science, Computational Linguistics, Information Systems, or a related technical field.
  • Graduate degree (M.S. or Ph.D.) in Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, or a closely related discipline preferred.

Experience
  • 8-10+ years of progressive experience in machine learning engineering, AI research, digital forensics, data science, or a closely related technical field, with deep expertise in at least two of the following domains:
  • Development, fine-tuning, evaluation, or production deployment of large language models (LLMs) or generative AI systems
  • Synthetic media detection, deepfake analysis, or AI-generated content forensics
  • Natural language processing, computational linguistics, or authorship attribution
  • Digital forensics, incident response, eDiscovery, or cybercrime investigation
  • Consulting delivery, expert witness services, or client-facing technical advisory roles in a litigation or regulatory context
  • A representative portfolio of project contributions , including open-source contributions, published research, technical blog posts, or other observable works , demonstrating sustained, applied AI proficiency across investigation-relevant domains.
  • Demonstrated ability to conduct or support expert witness engagements, produce legally defensible forensic reports, and communicate complex technical findings to non-technical audiences including judges, regulators, and corporate executives.
  • Familiarity with AI governance and risk management frameworks, including the NIST AI Risk Management Framework, ISO/IEC 42001:2023 (AI Management Systems), and the OWASP Generative AI Security guidelines.

Technical Skills
  • LLM Proficiency: Deep understanding of large language model architectures (transformer-based models including GPT, LLaMA, Mistral, Gemma, and related families); proficiency with fine-tuning methodologies including LoRA, QLoRA, and instruction tuning; and experience with alignment techniques (RLHF, RLAIF, DPO).
  • LLM Ecosystems and Tooling: Proficiency with the HuggingFace ecosystem (Transformers, PEFT, Datasets, Evaluate, TRL); major LLM inference frameworks (vLLM, llama.cpp, Ollama); and orchestration frameworks including LangChain and LlamaIndex.
  • Retrieval-Augmented Generation (RAG) Pipelines: Experience building, evaluating, and optimizing RAG pipelines using vector databases (Pinecone, Weaviate, ChromaDB, pgvector) and embedding models, including chunking strategy, retrieval evaluation, and hybrid search.
  • Deepfake Detection and Synthetic Media Forensics: Competency in deepfake detection methodologies including CNN- and transformer-based detection models (trained on FaceForensics++, DFDC, or equivalent datasets); GAN architecture analysis; multimodal artifact inspection (lip synchronization, temporal consistency, audio-visual misalignment); and pixel-level manipulation detection tools (e.g., Amped Authenticate, Sensity AI).
  • Content Provenance and Authentication: Understanding of content provenance standards including C2PA (Coalition for Content Provenance and Authenticity), cryptographic content credentials, digital watermarking approaches (including SynthID), and blockchain-based authenticity verification.
  • Text Forensics and Authorship Attribution: Experience with NLP-based forensic methodologies including stylometric analysis, semantic embedding-based authorship attribution, human vs. machine-generated text classification, and LLM source attribution (model fingerprinting, training data membership inference).
  • Programming Languages and Core Libraries: Advanced proficiency in Python; competency with PyTorch and/or TensorFlow for deep learning model development and evaluation; data analysis using pandas, NumPy, and scikit-learn; and SQL for structured data querying and investigation support.
  • Computer Vision and Multimodal Analysis: Experience with computer vision libraries (OpenCV, torchvision, PIL/Pillow) and audio/video processing tools for media forensics, including EXIF metadata analysis, sensor pattern noise analysis, and compression artifact forensics.
  • Cloud and Infrastructure: Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure Machine Learning) and containerization approaches (Docker, Kubernetes) for deploying and managing AI forensic tooling in enterprise environments.
  • Data Engineering: Experience with data engineering frameworks and tools including Apache Spark, Airflow, and modern data warehousing platforms (Snowflake, BigQuery, Redshift) for processing and analyzing large-scale unstructured and semi-structured datasets.

To Apply
To be considered for a position in the United States, we require the following:
  • Resume - please include current address, personal email and telephone number;

If you are interested in applying for one of our international locations, please visit our Careers site to view and apply for available jobs.
Career Growth and Benefits
  • CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
  • We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.

Work Location Flexibility
CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team.
Our Commitment to Equal Employment Opportunity
Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.
Salary and other compensation
A good-faith estimate of the annual base salary range for this position is $140,000 - $170,000. Stating pay within this range may vary based on factors such as education level, experience, skills, geographic location, market conditions, and other qualifications of the successful candidate. This position may be eligible for additional bonus incentive compensation.
CRA offers a comprehensive benefits package, subject to eligibility requirements, which may include: medical, dental, and vision insurance; 401(k) retirement plan with employer match; life and disability insurance; paid time off (vacation, sick leave, holidays); paid parental leave; wellness programs and employee assistance resources; and commuter benefits.

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