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Machine Learning Data Associate Amazon 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

$181K - $318K/yr

Machine Learning Data Engineer 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 ...

Parsons

Machine Learning / Data Scientist

Washington, DC · On-site

$88K - $154K/yr

We have a career opportunity for a Machine Learning / Data Scientist to develop advanced analytical models and experiments that enhance decision-making, improve forecasting, and uncover insights ...

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 ...

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How much do machine learning data associate amazon jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for machine learning data associate amazon in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate at Amazon, and why are they important?

To thrive as a Machine Learning Data Associate at Amazon, you typically need strong analytical abilities, attention to detail, and a bachelor's degree in a relevant field such as computer science or engineering. Familiarity with data annotation tools, spreadsheet software, and understanding of basic machine learning concepts are often required. Excellent communication, time management, and problem-solving skills help you efficiently interpret data and collaborate with team members. These skills ensure high-quality labeled datasets that are crucial for training accurate and effective machine learning models.

How much do machine learning data associates make?

Machine Learning Data Associates at Amazon typically earn between $35,000 and $55,000 annually, depending on experience and location. The role often involves data labeling, quality control, and working with tools like Amazon Mechanical Turk or SageMaker, with some positions offering additional benefits or bonuses.

Is being an ML data associate stressful?

Being an ML data associate at Amazon can involve repetitive tasks such as data labeling and quality checks, which may be mentally demanding but are generally manageable with proper time management. The role often requires attention to detail and adherence to guidelines, and workload can vary depending on project deadlines and volume, potentially leading to periods of increased pressure.

What are some common challenges faced by Machine Learning Data Associates at Amazon, and how can they be addressed?

Machine Learning Data Associates at Amazon often encounter challenges such as managing large volumes of data with high accuracy and adhering to tight project deadlines. Navigating ambiguous data and ensuring consistent labeling quality can also be demanding, especially as projects scale. To address these challenges, it's important to develop strong attention to detail, utilize available quality assurance tools, and communicate proactively with team members or project leads when uncertainties arise. Collaboration and continuous feedback within the team help maintain standards and improve efficiency over time.

What does ml data associate do in Amazon?

A Machine Learning Data Associate at Amazon is responsible for preparing, labeling, and managing data used to train machine learning models. They ensure data quality and consistency, often using tools like data annotation platforms, to support the development of AI systems and improve product recommendations, search, and other services.

What is the salary of ML data associate in Amazon?

The salary of a Machine Learning Data Associate at Amazon typically ranges from $40,000 to $70,000 per year, depending on experience, location, and specific team requirements. Entry-level positions may start at the lower end of this range, with higher salaries for experienced candidates or those with specialized skills in data annotation and machine learning tools.

What are Machine Learning Data Associates at Amazon?

Machine Learning Data Associates at Amazon are responsible for labeling, annotating, and validating data that is used to train and improve machine learning models. They work closely with data scientists and engineers to ensure the accuracy and quality of datasets, which are essential for developing AI technologies such as Alexa and Amazon Web Services products. Their tasks may include categorizing text, audio, or images, and providing feedback on data quality. This role is crucial for ensuring that Amazon's AI systems function effectively and deliver accurate results.
Infographic showing various Machine Learning Data Associate Amazon job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 53% Part Time, 2% Temporary, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,974 per year, or $18.7 per hour.
Machine Learning Data Engineer

Machine Learning Data Engineer

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 27 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

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Benefits

Hours and flexibility

Workplace

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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

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