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Linguistic Data Analyst Jobs (NOW HIRING)

Linguist

California, MD · On-site

$35 - $40/hr

The ideal candidate will have strong experience in linguistic data analysis, language technologies, and LLM/AI data operations and a proven ability to support data collection, synthetic data ...

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

The ideal candidate will have strong experience in linguistic data analysis, language technology, and programming familiarity and a proven ability to support data collection, synthetic data ...

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Linguistic Data Analyst information

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$34K

$82.6K

$136K

How much do linguistic data analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for linguistic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Linguistic Data Analyst vs Data Scientist?

AspectLinguistic Data AnalystData Scientist
Required CredentialsBachelor's in Linguistics, Data Analysis, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related field; programming skills
Work EnvironmentTech companies, research labs, language technology firmsVarious industries including tech, finance, healthcare, often in collaborative teams
Employer & Industry UsageFocus on language data, NLP projects, speech recognitionBroader data analysis across multiple domains, predictive modeling

The main difference is that a Linguistic Data Analyst specializes in language data and NLP projects, while a Data Scientist works across diverse data types and industries, often with advanced programming and statistical skills.

What are the key skills and qualifications needed to thrive as a Linguistic Data Analyst, and why are they important?

To thrive as a Linguistic Data Analyst, you need a strong background in linguistics, data analysis, and proficiency in at least one programming language such as Python or R, often supported by a relevant degree. Familiarity with annotation tools, natural language processing (NLP) systems, and data management platforms is typically required, along with experience in data cleaning and corpus analysis. Attention to detail, critical thinking, and effective communication are crucial soft skills that help ensure accuracy and collaboration in multidisciplinary teams. These skills are essential for extracting meaningful insights from language data and supporting the development of language technologies.

What does a Linguistic Data Analyst do?

A Linguistic Data Analyst is responsible for analyzing language data to improve natural language processing (NLP) systems, such as speech recognition, machine translation, and voice assistants. They annotate and evaluate linguistic data, develop guidelines for language tasks, and collaborate with engineers to enhance language models. Their work often involves tasks like part-of-speech tagging, syntactic parsing, and identifying language patterns or errors. This role requires a strong understanding of linguistics, attention to detail, and familiarity with data analysis tools.

How does a Linguistic Data Analyst typically collaborate with software engineers and product teams?

Linguistic Data Analysts frequently work alongside software engineers and product teams to ensure that language data is accurately represented and effectively utilized in products such as speech recognition systems, chatbots, or translation tools. They provide annotated datasets, clarify linguistic ambiguities, and offer insights on language patterns that can impact algorithm performance. Regular communication and feedback cycles are common, allowing analysts to update data guidelines based on engineering needs and user feedback, making cross-functional teamwork an essential aspect of the role.
More about Linguistic Data Analyst jobs
What cities are hiring for Linguistic Data Analyst jobs? Cities with the most Linguistic Data Analyst job openings:
What states have the most Linguistic Data Analyst jobs? States with the most job openings for Linguistic Data Analyst jobs include:
Infographic showing various Linguistic Data Analyst job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$35 - $40/hr

Other

Posted 11 days ago


Job description

Job Title: Linguist Location: Remote Duration: Contract - 12 months Pay Range: $35/hr $40/hr (W2) Job ID: 406613 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Linguist II to join our dynamic team. The ideal candidate will have strong experience in linguistic data analysis, language technologies, and LLM/AI data operations and a proven ability to support data collection, synthetic data generation, annotation, and evaluation for LLM training, alignment, and AI agent development. Responsibilities: Apply linguistic expertise in syntax, semantics, pragmatics, and sociolinguistics to support LLM and generative AI systems. Collaborate with linguists, data operations teams, and ML engineers on data collection, curation, annotation, and localization for model training and fine-tuning. Develop and maintain annotation schemas and guidelines for LLM training data, including instruction-tuning, preference labeling, and RLHF. Evaluate and quality-check datasets for pre-training, fine-tuning, and alignment of language models. Support programmatic methods for generating synthetic annotated data at scale. Assist in model evaluation through prompt-based testing, red-teaming, and linguistic error analysis. Contribute to AI safety and responsible AI practices, including hallucination detection, bias identification, and tone and pragmatic review. Participate in experiments to assess data quality, annotation consistency, and downstream model performance. Required Skills & Qualifications: Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field. 1+ years of experience in Linguistics, Language Technologies, NLP, or AI/ML data operations, or equivalent. Native or near-native fluency in English and at least one additional language. Knowledge of syntax, semantics, pragmatics, sociolinguistics, and corpus linguistics. Familiarity with Large Language Models, including training data, evaluation, prompting, and fine-tuning practices. Exposure to LLM evaluation methodologies such as human evaluation, automated metrics, and adversarial testing. Experience with semantic ontologies, taxonomies, or intent/slot frameworks. Proficiency using AI agents and chatbots. Experience with database queries and data analysis processes such as SQL, spreadsheets, R, or Unix. Experience working with speech and text data in multiple languages. Comfort working in a fast-paced, collaborative environment with evolving priorities. Preferred Skills: Master's degree in Linguistics, Computational Linguistics, Language Technologies, or related field. Familiarity with ML frameworks and NLP libraries and tools, such as Hugging Face, spaCy, NLTK, or PyTorch. Exposure to statistical language modeling or training data pipelines. Strong organizational skills and attention to detail. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.