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Machine Learning Data Associate Jobs in Arizona (NOW HIRING)

Machine Learning Engineer

Phoenix, AZ · On-site

$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 ...

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and ...

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 ...

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

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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 Jun 19, 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.

What is the salary of ML data associate?

The salary of a Machine Learning Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and tools like Python or SQL can earn higher salaries.

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.

Is ML data associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Job satisfaction depends on individual interests and career goals in technology and data fields.

How much do ML data associates make in the US?

Machine Learning Data Associates in the US typically earn between $35,000 and $60,000 annually, depending on experience, location, and employer. Entry-level positions may start lower, while those with specialized skills in data annotation, labeling, or familiarity with tools like Labelbox or CVAT can command higher salaries.

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 does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
Technical Project Manager - Machine Learning & Data Science

Technical Project Manager - Machine Learning & Data Science

Cadmus, LLC

Phoenix, AZ

$105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

What You’ll Be Doing

Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver initiatives that support the enterprise’s data needs. You will function as a TPM authority and team leader, owning programs that span multiple teams and systems, improving delivery processes, and serving as a key liaison with program stakeholders. We are looking for someone who is results-oriented and comfortable with facilitating engineering teams to predictably meet commitments and successfully deliver high quality products and features. Your success will be achieved through clear communication and collaboration among the team, removing impediments, enabling flexibility and rapid respond to change, and providing leadership grounded in trust, transparency, and kindness.

Who We Are

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com .

Responsibilities

  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.

  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team’s activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.

  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.

  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.

  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.

  • Influence without authority and drive consensus across diverse stakeholders.

Qualifications

  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.

  • Bachelor’s degree in Information Systems, BI or Analytics or Engineering.

  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.

  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.

  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).

  • Experience regularly maintaining and reporting program data, preferably in Jira.

  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.

  • Excellent communication and problem-solving skills.

  • Ability to facilitate teams and individuals working collaboratively and efficiently.

  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.

  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.

  • Preferred certifications: PMP or Scrum Master.

Additional Information:

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $105,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

We value the critical role safety and health protocols contribute to everyone’s success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.

Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.

Learn more about Cadmus by visiting our website at: cadmusgroup.com

Job Locations US

Posted Date 1 month ago (5/8/2026 12:02 PM)

Job ID 2026-3160

# of Openings 1

Category Information Technology