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Machine Learning Data Linguist Jobs (NOW HIRING)

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Job Responsibilities : - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation. - Understand business ...

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. ..This role ...

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ... discipline. Direct relevant military experience will also be considered. Minimum of 3 years related ...

... Linguistics or a related field. Experience: * Prior experience in a leadership role within a data annotation or machine learning team. * Proven track record of team management, mentorship, and ...

... Linguistics or a related field. Experience: * Prior experience in a leadership role within a data annotation or machine learning team. * Proven track record of team management, mentorship, and ...

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Machine Learning Data Linguist information

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$52K

$73.4K

$95.5K

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

As of Jun 20, 2026, the average yearly pay for machine learning data linguist in the United States is $73,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $79,000.00 per year, depending on experience, location, and employer.

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 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.
More about Machine Learning Data Linguist jobs
What cities are hiring for Machine Learning Data Linguist jobs? Cities with the most Machine Learning Data Linguist job openings:
What states have the most Machine Learning Data Linguist jobs? States with the most job openings for Machine Learning Data Linguist jobs include:
Infographic showing various Machine Learning Data Linguist job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 84% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,373 per year, or $35.3 per hour.
Machine Learning Data Collection Specialist

Machine Learning Data Collection Specialist

Prolim Global

Burlingame, CA โ€ข On-site

Contractor

Posted 29 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Machine Learning Data Collection Specialist for location Burlingame, California, United States for one of our Top clients.ย 

Job Description:

  • 3 + year of experience in either Software or Data Analytics related fields, with experience of using Linux/Android command console, using Python for data analysis. Basic understanding of Computer Vision/Machine learning is preferred but not required.
  • Either Bachelor's degree in STEM fields, or 3+ years industry/academic experience in developing Python software products or Data Analytics, alternatively 1+ year industry/academic experience in Computer Vision/Machine Learning
  • Experience with these Python analytics libraries: Pandas, Numpy, Plotly

Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey@prolim.com

About PROLIM Corporationย ย 

PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.ย 

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.