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Full Time Machine Learning Data Annotation Jobs in Phoenix, AZ

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Designs and builds advanced statistical, predictive, machine learning, and AI models, selecting ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Designs and builds advanced statistical, predictive, machine learning, and AI models, selecting ...

Develop supervised and unsupervised machine learning solutions, including classification ... Collaborate with data engineers, software engineers, machine learning engineers, architects ...

Design machine learning workflows using Azure Machine Learning, including experimentation, model ... Data Quality and Feature Readiness: Assess clinical and operational data readiness, identify data ...

Quality Management Engineer

Phoenix, AZ

$88K - $114K/yr

Predictive analytics and statistical applications including modeling, machine learning, data science, process control methods, and developing and implementing methods for specialized applications.

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Predictive analytics and statistical applications including modeling, machine learning, data science, process control methods, and developing and implementing methods for specialized applications.

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Machine Learning & Predictive Analytics: * Develop and deploy AI/ML models that power key products ... Perform feature engineering using clinical, operational, and financial data * Experiment with ...

Data Analyst

Scottsdale, AZ · On-site

$80K - $125K/yr

Design, develop, and implement machine learning models and forecasting techniques to predict construction project timelines and improve efficiency. Requirements: * 4+ years of experience in data ...

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... Responsibilities : • Develop, validate, and deploy machine learning and statistical models to ...

Showing results 41-60

Full Time Machine Learning Data Annotation information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time machine learning data annotation in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Phoenix, AZ?

The most popular types of Machine Learning Data Annotation jobs in Phoenix, AZ are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Phoenix, AZ?

For Full Time Machine Learning Data Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Phoenix, AZ look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Phoenix, AZ are:

Senior Director Data Science

Sprouts Farmers Market

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 820 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

Overview

The Senior Director, Data Science & Personalization provides leadership for Sprouts' data science, machine learning, insights, and personalization capabilities. This role sets the vision and strategy for how advanced analytics and data-driven decisioning power personalized customer experiences and business growth across the organization. This leader is accountable for driving measurable business outcomes and ensuring Sprouts continues to build a durable competitive advantage through data. #LI-AD1

Essential Functions

Data Science & Personalization Strategy

  • Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer.
  • Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth.
  • Balance near-term business impact with long-term capability building and scalability.
  • Serve as a senior thought leader on how data science can accelerate customer and enterprise value.

Lead Advanced Analytics & Machine Learning at Scale

  • Provide oversight and direction on machine learning models and analytical solutions development.
  • Ensure models and solutions are robust, measurable, and continuously improved.
  • Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts.

Own TestandLearn & Decisioning Capabilities (PodBased Model)

  • Guide the organization's agile pod model for testing personalization ideas.
  • Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics.
  • Leverage standardized and automated measurement to identify winning tests with stats sig confidence.
  • Govern experiment flow so learnings become alwayson capabilities.

Build, Lead & Develop Leaders

  • Lead and develop Data Science, Analytics and Insights teams.
  • Establish clear expectations for leadership effectiveness, technical excellence, and business impact.
  • Build succession plans and a strong talent pipeline to support current and future growth.
  • Foster a culture of accountability, curiosity, and continuous improvement.

Influence & Partner Across the organization

  • Act as a senior strategic partner to leaders across the organization.
  • Translate complex analytical concepts into clear, compelling business narratives.
  • Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT.

Governance, Standards & Responsible Data Use

  • Establish organizational standards for model governance, documentation, monitoring, and ethical data usage.
  • Ensure data science efforts comply with privacy, security, and regulatory requirements.
  • Oversee vendor relationships and selectively engage partners where acceleration is needed.
Knowledge, Skills, Abilities and Physical Requirements

Knowledge, Skills and Abilities

  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications

  • Experience in retail, grocery, eCommerce, or consumerfocused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.
Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you're hired as an eligible employee, you'll be able to transfer the money you've already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don't have to wait for payday to access the money you've already worked for. With DailyPay, you can see how much you've made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.

Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer's market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts' management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Employment Type: FULL_TIME

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