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Senior Data Linguist Jobs (NOW HIRING)

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ...

Persian-Farsi Linguist

Augusta, GA · On-site

$31.25 - $33.25/hr

... the senior leadership staff. Principal Responsibilities of the Position: * Provide operational ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Engage with senior clients to discuss project needs and opportunities and to brief reports ... data sources. * Work with in-house software developers to identify and assist collection and ...

Persian-Farsi Linguist

Augusta, GA

$31.25 - $33.25/hr

... the senior leadership staff. Principal Responsibilities of the Position: * Provide operational ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Engage with senior clients to discuss project needs and opportunities and to brief reports ... data sources. * Work with in-house software developers to identify and assist collection and ...

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Senior Data Linguist information

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$81

How much do senior data linguist jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for senior data linguist in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Linguist vs Data Analyst?

AspectSenior Data LinguistData Analyst
Required CredentialsBachelor's/Master's in Linguistics, Data Science, or related fields; experience in language data processingBachelor's/Master's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentLanguage data labs, AI companies, tech firms focusing on NLPBusiness intelligence, finance, marketing, and other industries analyzing datasets
Employer & Industry UsageTech companies, AI firms, research institutionsCorporations, consulting firms, government agencies

The main difference is that Senior Data Linguists focus on language data, NLP, and linguistic analysis, while Data Analysts primarily interpret numerical data to inform business decisions. Both roles require strong analytical skills, but their focus areas and tools differ significantly.

More about Senior Data Linguist jobs
What cities are hiring for Senior Data Linguist jobs? Cities with the most Senior Data Linguist job openings:
What are the most commonly searched types of Data Linguist jobs? The most popular types of Data Linguist jobs are:
What states have the most Senior Data Linguist jobs? States with the most job openings for Senior Data Linguist jobs include:
What job categories do people searching Senior Data Linguist jobs look for? The top searched job categories for Senior Data Linguist jobs are:
Infographic showing various Senior Data Linguist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Sr Data Scientist GenAI

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site

$150K - $210K/yr

Full-time

Posted 16 days ago


Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production—ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
 - 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
 - Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
 - Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
 - Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
 - Experience working in production / deploying models (batch and streaming), working with MLOps practices.
 - Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
 - Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's  in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.

This position is temporarily remote.