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Machine Learning Data Associate Amazon Jobs (NOW HIRING)

1872 Consulting

Machine Learning Engineer

Reston, VA

You will be working closely with our Data Scientists, implementing highly available and scalable ... Amazon SageMaker * Experience implementing quality and control disciplines for Machine Learning ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

Job Summary Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application. The ideal candidate is adept at using large data ...

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 ...

Trimble

Machine Learning Data Scientist

Westminster, CO

$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 ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

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 ...

Demoind

Machine Learning

California, PA · On-site

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

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

As of Jun 11, 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 Engineer

Machine Learning Engineer

1872 Consulting

Reston, VA

Other

Posted 22 days ago

Job description

Machine Learning Engineer

D.C. Area

About the Position

As a member of our Engineering team, you will work with a tight, highly skilled machine learning / data science team dedicated to the development of proprietary consumer insights. You will be working closely with our Data Scientists, implementing highly available and scalable machine learning pipelines. If you are a Software Engineer passionate for technology who wants to work with a mature, intensely skilled team, values total ownership of your work, and can't imagine a day without coding, we want to speak to you! We're looking for a creative, focused, collaborative, technically curious individual who enjoys both design as well as working hands-on with the code. If you are interested in working on cutting edge Client and AI projects at Internet scale and speed this is the job for you!

Key Responsibilities
  • Design and implement Client feature pipelines
  • Optimize pipelines and processes for model development, experimentation and scaled production scoring
  • Implement machine learning algorithms and libraries in service to modeling and production scoring pipelines
  • Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines as well as tooling to govern
  • Analyze large and complex data sets to derive valuable insights, inform feature and product development
  • Apply machine learning and data science techniques and design distributed systems
Qualifications & Experience Requirements
  • Strong Software Engineering background with emphasis in data science and machine learning
  • Fluent in Java, Python, and/or Scala programming languages
  • Strong communication skills including the ability to describe complex models and findings to different audiences and stakeholders, from data science peers to business decision-makers
  • Demonstrated exploratory analysis and visualization abilities in a non-academic settings
  • Strong bias for action and ability to pivot quickly and act with agility according to the needs of the business
  • Working knowledge of machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS)
  • Experience designing, implementing, and transitioning to AI/Client cloud based frameworks such as Amazon SageMaker
  • Experience implementing quality and control disciplines for Machine Learning pipelines through process and tooling
  • Ability to handle multiple projects simultaneously, meet deadlines, and effectively manage priorities and communicate progress
  • Fluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)
  • Computer Science or equivalent degree and work experience
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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