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Machine Learning Data Linguist Jobs in Independence, MO

Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment * Support the development of predictive and ...

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Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...

... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...

... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...

... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...

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Machine Learning Data Linguist information

See Independence, MO salary details

$47.4K

$66.9K

$87.1K

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

As of Sep 4, 2026, the average yearly pay for machine learning data linguist in Independence, MO is $66,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $72,000.00 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 job categories do people searching Machine Learning Data Linguist jobs in Independence, MO look for?

The top searched job categories for Machine Learning Data Linguist jobs in Independence, MO are:

What cities near Independence, MO are hiring for Machine Learning Data Linguist jobs?

Cities near Independence, MO with the most Machine Learning Data Linguist job openings:

Senior IT Data Engineer

JE Dunn

Kansas City, MO • On-site

$120 - $180/hr

Other

Posted 3 days ago

New


Job description

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Best People + Right Culture. These are the driving forces behind JE Dunn's success.

By hiringinspired people, giving theminteresting and challenging work, enabling them withinnovative tools, and letting themshare in the company's rewards, we've found asustainable way to growin our industry for the last 100+ years.

Our diverse teams around the country strive to enrich lives through inspired people and places everyday, andwe need inspired people like youto join us in our pursuit of building perfection.

Role Summary

The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes enabling predictive and prescriptive analytics by building scalable data foundations, partnering with business stakeholders to identify high-value opportunities, and applying a deep understanding of machine learning, data science, and statistical concepts to real business problems. The position operates as a forward-looking technical leader who is comfortable working with rapidly changing technologies—including Fabric, data agents, Rayfin, and large language models—and exploring new ways to create business value from data. All activities will be performed in support of the strategy, vision and values of JE Dunn.

  • Autonomy & Decision-Making: Makes decisions on non-routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor.
Key Role Responsibilities - Core
  • Design and implement scalable data and analytics architectures in Microsoft Fabric that support predictive and prescriptive use cases
  • Partner with business stakeholders to understand operational challenges, available data, and opportunities to create measurable business value through analytics and machine learning
  • Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment
  • Support the development of predictive and prescriptive analytics solutions by preparing reliable, well-governed datasets for training, inference, and decision support
  • Evaluate emerging technologies such as Fabric, data agents, Rayfin, and large language models, and recommend practical ways to leverage them in new and innovative ways
  • Design data models and transformation processes that improve data quality, consistency, and usability for advanced analytics
  • Participate in architectural reviews to ensure new systems align with the organization's data, analytics, and AI strategy
  • Implement governance, lineage, metadata, and security practices that enable trusted self-service analytics and responsible AI usage
  • Monitor and improve the performance, reliability, and quality of data and ML workflows, including alerting for data drift and model performance issues
  • Document analytics and ML data dependencies, solution designs, and technical standards to support maintainability and scale
  • Collaborate across departments to identify data synergies, prioritize high-impact use cases, and communicate changes to stakeholders
  • Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost-efficiency of analytics and machine learning solutions
Key Role Responsibilities - Additional Core

SENIOR DATA ENGINEER

In addition, this position will be responsible for the following:

  • Supports the definition of enterprise patterns and standards for advanced analytics, machine learning, and AI-enabled data products
  • Provides subject matter expertise for evolving or experimental initiatives involving predictive analytics, prescriptive analytics, and emerging technologies
  • Mentors junior team members on data science concepts, analytical thinking, and modern data platform best practices
  • Leads small to medium sized initiatives as a technical subject matter expert in advanced analytics and data architecture
  • Provides authoritative feedback on how upstream systems, business processes, and data structures can better support analytical and ML outcomes
  • Collaborates with key stakeholders and IT leadership to identify and prioritize data investments with clear business value
  • Contributes to the data and AI strategy roadmap and supports complex, high-impact initiatives that leverage modern and rapidly evolving technologies
Knowledge, Skills & Abilities
  • Ability to perform work accurately and completely, and in a timely manner
  • Communication skills, verbal and written
  • Ability to prioritize multiple projects
  • Ability to drive change through innovation & process improvement
  • Ability to communicate to executive audiences and deliver results through influence
  • Deep understanding of machine learning, data science, and statistical concepts, including how to apply them to business problems and value creation
  • Ability to work with business stakeholders to understand available data, identify opportunities, and define high-value predictive and prescriptive analytics use cases
  • Comfort working with cutting-edge and rapidly changing technologies, including Microsoft Fabric, data agents, Rayfin, and large language models
  • Ability to think creatively about how emerging technologies can be leveraged in new ways to improve decision-making and business outcomes
  • Proficiency in SQL - Intermediate
  • Proficiency in Python - Intermediate
  • Proficiency in Spark - Intermediate
  • Experience implementing data architectures and governed analytical data models in modern data platforms
  • Knowledge of data governance and security best practices
  • Experience developing and consuming REST APIs for data integration (Preferred)
  • Familiarity with Power BI and Microsoft Fabric (Preferred)
  • Experience with Microsoft Purview or similar data catalog and governance tools (Preferred)
  • Experience supporting or operationalizing machine learning models for predictive or prescriptive analytics (Preferred)
Education
  • Bachelor’s degree in Computer Science, Data Engineering or related field (Required)
  • In lieu of the above requirements, equivalent relevant experience will be considered.
Experience
  • 5+ years of experience in data analytics or data engineering (Required)
  • Frequent activity: Sitting, Viewing Computer Screen
  • May require periods of overnight travel
  • Must be able to lift up to 10 pounds
  • Normal office environment
  • Occasional activity: Standing, Walking, Bending, Climbing, Reaching above Shoulder
Benefits Information

This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.

JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace.

JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to accommodations@jedunn.com

JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails.

Why People Work Here

At JE Dunn we offer our employees an inspired place to enrich their life and the lives of those around them

Building on our rich history, our employee owners are shaping the future of JE Dunn. In our team-focused environment we do life together and are generously rewarded for our efforts

About JE Dunn

For more information on who we are, click here.

JE Dunn participates in the Electronic Employment Eligibility Verification Program.

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