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Data Rater Jobs in Phoenix, AZ (NOW HIRING)

Data Engineer

Scottsdale, AZ ยท On-site

$60 - $70/hr

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Rate Deployment & Online Execution (Primary Focus) * Own the end-to-end actuarial rate deployment ... Data Analysis * Collaborates with stakeholders to understand and define business requirements for ...

Job Title: Maps Quality Rater - English Fluency What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people ...

Job Title: Maps Quality Rater - English Fluency What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people ...

Job Title: Maps Quality Rater - English Fluency What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people ...

Job Title: Maps Quality Rater - English Fluency What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people ...

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Data Rater information

See Phoenix, AZ salary details

$9

$27

$71

How much do data rater jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data rater in Phoenix, AZ is $27.63, according to ZipRecruiter salary data. Most workers in this role earn between $14.72 and $31.08 per hour, depending on experience, location, and employer.

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

To thrive as a Data Rater, you need strong analytical abilities, attention to detail, and proficiency in following detailed guidelines, often requiring at least a high school diploma or equivalent. Familiarity with web-based evaluation tools, spreadsheets, and sometimes proprietary rating platforms is typically expected. Excellent time management, critical thinking, and effective written communication are valuable soft skills for excelling in this role. These skills ensure accurate and consistent data evaluation, which directly impacts the quality and effectiveness of machine learning models and search algorithms.

What are some common challenges Data Raters face, and how can they effectively manage them?

Data Raters often encounter challenges such as maintaining consistency in their evaluations, understanding complex guidelines, and managing repetitive tasks. To effectively handle these, it's important to regularly review guideline updates, seek clarification from team leads when unsure, and use productivity techniques to stay focused during long periods of rating. Collaborating with peers through forums or team meetings can also help share best practices and resolve ambiguities.

What is the difference between Data Rater vs Data Annotator?

AspectData RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma; some roles may prefer familiarity with annotation tools
Work EnvironmentRemote or office-based; often involves reviewing data for qualityRemote or office-based; involves labeling or tagging data for machine learning
Employer & Industry UsageTech companies, data services, AI firmsAI and machine learning companies, data labeling services

Data Raters primarily review and assess data quality, ensuring accuracy and consistency, while Data Annotators focus on labeling data to train machine learning models. Both roles are essential in AI development, often sharing similar skills and work environments, but differ in their specific tasks and objectives.

What are Data Raters?

Data Raters are professionals who evaluate and provide feedback on data, such as search engine results, advertisements, and social media content, to help improve the accuracy and relevance of algorithms. They often work with large tech companies to assess whether content meets specific quality guidelines and user intent. Data Raters typically work remotely on a part-time or flexible schedule, and their work is crucial in training artificial intelligence systems to better understand human preferences.
What are popular job titles related to Data Rater jobs in Phoenix, AZ? For Data Rater jobs in Phoenix, AZ, the most frequently searched job titles are:
Infographic showing various Data Rater job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,466 per year, or $27.6 per hour.
Data Engineer

Data Engineer

Judge Group, Inc.

Scottsdale, AZ โ€ข On-site

$60 - $70/hr

Other

Re-posted 2 days ago


Job description

Location: Scottsdale, AZ Salary: $60.00 USD Hourly - $70.00 USD Hourly Description: Title: Data Engineer
Location: Scottsdale, AZ
Remote: NO
Length: 6 months (potential contract to hire)
Contact: Brian Merin; ;
Summary:
Leads the design and implementation of data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principles.
What is REQUIRED:
  • This is a high-level position. We are looking for someone who is at an architectural level. They see the solution to a common problem, reach common ground with leadership, and execute.
  • Can't be a pure architect because they need to roll up their sleeves and do the work.
  • Tenure AWS (glue, spark, PI Spark)
  • Need to embrace AI and have not just dabbled in it. there already instilled in the workflow.
  • Produce data pipelines, partner with applications teams. Cross-functional experience.
  • Need to participate in BRD review and collaborate with the business.
  • Someone who loves to build

The following are essential accountabilities:
Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data processing.
Assembles large, complex data sets that meet functional and non-functional business requirements.
Mentors and guides Data Engineer team members, promoting best practices and design principles.
Engages in advanced data modeling and architecture tasks.
Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data delivery.
Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc.
Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technologies.
Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs.
Works with data and analytics experts to strive for greater functionality in our data systems.
Responsible for managing complex queries for reporting and the application consumption.
Troubleshoots and provides root cause analysis for database software and data integrity issues.
Ability to work off-hours with occasional evenings, weekends, and/or holidays.
Position Qualifications
Minimum Education: Bachelor's degree in computer science or related experience.
Preferred Education: Master's degree in computer science or related experience.
Minimum Experience: 7 years as a Data Engineer.
Preferred Experience: 8 years as a Data Engineer.
Required Certification/ License: N/A
Preferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certifications.
Skills, Knowledge, and Experience:
Deep understanding of SQL and experience with multiple relational and NoSQL database solutions.
Expertise in optimizing ETL/ELT pipelines and data modeling.
Experience with version control systems and CI/CD pipeline development.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrated ability to lead projects and mentor junior team members.
Strong analytic skills related to working with unstructured datasets.
Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with relational SQL (SQL Server) and NoSQL (Mongo) databases.
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This job and many more are available through The Judge Group. Please apply with us today!