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Manager Ai Linguistics Jobs (NOW HIRING)

BC Forward

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or ... management, safe and respectful collaboration, trustworthiness, meeting client expectations and ...

Infotech Sourcing

Linguist III

PR · Remote

Perform linguistic error analysis of AI model outputs, determining what the most frequent and ... management is a plus self-motivation is a must Working knowledge of international language ...

Service Global, Inc

Linguist III

New York, NY · On-site

Perform linguistic error analysis of AI model outputs, determining what the most frequent and ... management is a plus self-motivation is a must Working knowledge of international language ...

Propio

AI Engineer II - Translation

Leawood, KS · On-site

Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback. * Continuously evaluate and benchmark model performance using ...

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How much do manager ai linguistics jobs pay per year?

As of Aug 1, 2026, the average yearly pay for manager ai linguistics in the United States is $55,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Manager AI Linguistics when leading interdisciplinary teams?

As a Manager AI Linguistics, a common challenge is bridging the communication gap between linguists, data scientists, and software engineers. Each group often has distinct technical vocabularies and perspectives, so facilitating effective collaboration is critical. Additionally, aligning linguistic accuracy with project deadlines and technological constraints can require creative problem-solving. Success in this role relies on fostering mutual understanding, setting clear project goals, and ensuring all team members are aware of both linguistic and technical priorities.

What does a Manager of AI Linguistics do?

A Manager of AI Linguistics oversees teams that develop and improve natural language processing (NLP) systems, such as chatbots, voice assistants, and language translation tools. They combine expertise in linguistics, artificial intelligence, and project management to ensure that AI systems can accurately understand and generate human language. Their responsibilities include leading research, setting project goals, collaborating with data scientists and engineers, and ensuring the quality and ethical standards of language models. This role is critical in making AI applications more effective and user-friendly across diverse languages and cultures.

What is the difference between Manager Ai Linguistics vs Data Scientist?

AspectManager Ai LinguisticsData Scientist
Required CredentialsMaster's or PhD in Linguistics, AI, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch teams, AI development labs, tech companiesData analysis teams, tech firms, consulting agencies
Employer & Industry UsageAI companies, tech giants, research institutionsTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

The main difference between Manager Ai Linguistics and Data Scientist lies in their focus areas. Manager Ai Linguistics oversees linguistic AI projects, emphasizing language models and NLP, while Data Scientists analyze data to extract insights across various domains. Both roles require strong technical skills, but their applications and industry focus differ.

What are the key skills and qualifications needed to thrive as a Manager AI Linguistics, and why are they important?

To thrive as a Manager AI Linguistics, you need expertise in computational linguistics, natural language processing (NLP), and a relevant advanced degree, often supported by experience leading technical teams. Familiarity with NLP frameworks (such as TensorFlow, PyTorch, or spaCy), annotation tools, and experience with AI model deployment are typically required. Strong leadership, communication, and project management skills set top candidates apart in this interdisciplinary role. These skills are vital for successfully guiding teams to create effective AI-driven language solutions that meet organizational objectives.
More about Manager Ai Linguistics jobs
What cities are hiring for Manager Ai Linguistics jobs? Cities with the most Manager Ai Linguistics job openings:
What are the most commonly searched types of Ai Linguistics jobs? The most popular types of Ai Linguistics jobs are:
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What job categories do people searching Manager Ai Linguistics jobs look for? The top searched job categories for Manager Ai Linguistics jobs are:
Manager Ai Linguistics jobs near you
Infographic showing various Manager Ai Linguistics job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $55,952 per year, or $26.9 per hour.

Lead Data Scientist (GenAI)

Universal Business Solutions

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Universal Business Solutions is seeking a Lead Data Scientist (GenAI) to design and deliver enterprise-scale AI solutions using LLMs, RAG, and MCP. The role involves partnering with business and technical leaders to build secure, scalable, high-value GenAI capabilities across the organization.
Responsibilities:
• Lead GenAI architecture and design scalable solutions for enterprise use cases.
• Build modular LLM pipelines using LangChain, LlamaIndex, and similar frameworks.
• Define prompting, agent, and RAG strategies that can be reused across teams.
• Manage the full lifecycle of GenAI projects from development through deployment and MLOps.
• Ensure responsible AI including governance, compliance, and explainability.
• Evaluate emerging AI trends and guide the adoption of high‐value innovations.
• Collaborate with cross‐functional teams to translate business needs into scalable AI solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, data science, ML, NLP, AI, linguistics, or related field.
• 4–7+ years in Data Science, ML, NLP, or AI.
• Hands‐on LLM experience including building, fine‐tuning, and deploying models in production.
• Strong Python skills (Scikit‐learn, PyTorch, Pandas, NumPy, spaCy, NLTK, Matplotlib).
• Experience with SQL, NoSQL, and vector databases (Milvus, Pinecone, PGVector).
Preferred:
• Advance degree a plus
Company:
Universal Business Solutions specializes in business consulting, IT talent acquisitions, training, and other IT services. Founded in 1995, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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