ZipRecruiter

Log In

1

Machine Learning Data Linguist Jobs (NOW HIRING)

Apple

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ambiguous data ...

Apple

Machine Learning Data Engineer

Cupertino, CA

$141K - $169K/yr

Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ...

Apple

Machine Learning Data Engineer

Cupertino, CA

$181K - $318K/yr

Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

MAIN TASKS & RESPONSIBILITIES Machine Learning Model Updates: * Update training and test model ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

MAIN TASKS & RESPONSIBILITIES Machine Learning Model Updates: * Update training and test model ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

MAIN TASKS & RESPONSIBILITIES Machine Learning Model Updates: * Update training and test model ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR

$122K - $165K/yr

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 ...

next page

Showing results 1-20

All JobsMachine Learning Data Linguist Jobs

Machine Learning Data Linguist information

See salary details

$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:
What job categories do people searching Machine Learning Data Linguist jobs look for? The top searched job categories for Machine Learning Data Linguist jobs are:
Machine Learning Data Linguist jobs near you
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 Engineer

Machine Learning Data Engineer

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ambiguous data challenges into scalable processes, clear policies, and high-fidelity datasets that power diverse ML use cases, specifically focused on innovative consumer products and user-facing technologies.You will act as the crucial link between technical tools and infrastructure, cross-functional engineering teams, and regulatory compliance (including privacy, legal, and consumer data protection). If your passion is making sense of complex data, designing data evaluation frameworks, and leading initiatives to maximize model ROI through rigorous data quality, we want you on our team.
BS in Computer Science, Data Engineering, Data Science, Mathematics, or a related field; or equivalent industry experience.Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.Experience managing or coordinating cross-functional projects spanning multiple technical teams or organizations, leading end-to-end data strategy for ML development lifecycle, including iterating rapidly to drive improvements.
10+ years of experience in data analysis or ML data operations, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.Experience operating within global data privacy frameworks (e.g., GDPR, CCPA) and aligning consumer ML data handling with legal compliance and ethical guidelines.Proven background in leading complex, cross-functional programs focused specifically on ML data quality at scale.Experience with prompt engineering, machine learning tools, and fine-tuning Large Language Models (LLMs).Demonstrated ability to consult with diverse engineering stakeholders to gather requirements, explain complex models, and iterate rapidly to drive improvements.Excellent written and verbal communication skills, with a specialized ability to distill highly technical analyses to non-technical audiences effectively.Exceptional problem-solving skills, adaptability, and agility to navigate high ambiguity, learn proprietary tools quickly, and thrive in a fast-paced environment.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply