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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 / Data Science Engineer

Machine Learning / Data Science Engineer

CapTech Consulting

Reston, VA • On-site

$119K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.

Specific responsibilities for the Machine Learning Engineer position include:

  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
  • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 
Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting 
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures 
  • Strong understanding of conversational UX and prompt evaluation metrics 
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration
 

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.