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Machine Learning Data Linguist Jobs in Springfield, MA

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Solid foundation in statistics and machine learning models, processes, and theories, with the ...

Munich RE

Senior Data Scientist

Hartford, CT · On-site

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Solid foundation in statistics and machine learning models, processes, and theories, with the ...

STI

Data Scientist

Hartford, CT · On-site

... with machine learning, AI, and cognitive service engine models • Experience with programming ... Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Experience with AI, agentic solutions, intelligent automation, or machine learning-enabled workflows. * Familiarity with metadata-driven architectures and data catalog technologies. * Experience with ...

ClifyX

MLOps Engineer

Hartford, CT · On-site

... Machine Learning Models (Preferably in Cloud) • Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance • Design, build and scale reliable data pipelines using AWS ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking a Data Engineer within the Actuarial Strategic Modeling(ASM) team to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial ...

Pwc

NGA AI Engineer Manager

Hartford, CT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Machine Learning Data Linguist information

See Springfield, MA salary details

$51.8K

$73.1K

$95.2K

How much do machine learning data linguist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning data linguist in Springfield, MA is $73,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $78,700.00 per year, depending on experience, location, and employer.

What is a machine learning data linguist?

A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.

How does a machine learning data linguist typically collaborate with engineers and data scientists on projects?

A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.

What are the key skills and qualifications needed to thrive as a machine learning data linguist, and why are they important?

To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.

What are popular job titles related to Machine Learning Data Linguist jobs in Springfield, MA?

For Machine Learning Data Linguist jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Data Linguist jobs in Springfield, MA look for?

The top searched job categories for Machine Learning Data Linguist jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Machine Learning Data Linguist jobs?

Cities near Springfield, MA with the most Machine Learning Data Linguist job openings:

Machine Learning Data Linguist jobs near you

Senior Data Scientist

Munich Re

Hartford, CT • On-site

Full-time

Posted 25 days ago

Job description

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project. 

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. 

Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.  

Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.

Education and Experience:

  • Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
  • PhD in qualitative discipline is preferred
  • 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
  • Experience in feature engineering on structured and unstructured data
  • Experience with Git or similar tool for version control
  • Experience working with big-data technology on Linux-based systems.
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
  • Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

  • Hands-on experience in Python, R, SQL, Scala
  • Exposure to cloud computing (Azure, AWS, etc.)
  • Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Ability to write production-ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.   
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

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