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Machine Learning Data Associate Jobs in Arizona (NOW HIRING)

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Required Qualifications Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field Hands-on experience building and deploying Machine Learning ...

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 ...

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 ...

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 ...

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 ...

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Machine Learning Data Associate information

See Arizona salary details

$9

$17

$28

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

As of May 30, 2026, the average hourly pay for machine learning data associate in Arizona is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

Infographic showing various Machine Learning Data Associate job openings in Arizona as of May 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $36,319 per year, or $17.5 per hour.

$55.25 - $73.25/hr

Other

Posted 7 days ago


Job description

Machine Learning Engineer

Location: Phoenix, AZ (Onsite)

Required Skills

Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD

Job Description

We are looking for a strong Machine Learning Engineer with hands-on experience in developing, deploying, and optimizing ML models in enterprise environments. The ideal candidate should have expertise in Classical Machine Learning, NLP, Python development, and scalable data processing systems.

Required Qualifications

Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field

Hands-on experience building and deploying Machine Learning models including Classical ML and NLP solutions

Strong understanding of ML algorithms, frameworks, libraries, and software architecture

Advanced Python programming experience; Java knowledge is a plus

Experience integrating ML models into existing applications in both batch and real-time environments

Strong SQL skills with experience writing complex queries and optimizing data pipelines

Experience with NoSQL databases is a plus

Familiarity with Big Data technologies such as Spark, PySpark, Hive, MapReduce

Working knowledge of UNIX/Linux commands

Experience using GitHub and CI/CD pipelines

Strong analytical, problem-solving, and communication skills

Experience with AI/ML governance in regulated industries is a plus

Preferred Experience

NLP model development

Enterprise-scale ML deployments

Real-time inference/API integrations

Financial services or highly regulated industry background