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Data Rater Jobs in Phoenix, AZ (NOW HIRING)

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

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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 ...

Rate Deployment & Online Execution (Primary Focus) * Own the endโ€‘toโ€‘end actuarial rate ... 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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Showing results 1-20

Data Rater information

See Phoenix, AZ salary details

$9

$27

$71

How much do data rater jobs pay per hour?

As of Aug 6, 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 is a data rater?

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, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $57,466 per year, or $27.6 per hour.

$113K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Phoenix, AZ who is seeking a Data Engineer to join their team. The Data Engineer is a hands-on technical role focused on designing, developing, and optimizing enterprise data solutions. This individual will play a key role in advancing modern data engineering, analytics, and cloud-based data platform initiatives. The ideal candidate will have experience building scalable data pipelines, data lakes, and data warehouses while collaborating closely with cross-functional teams to deliver high-quality data solutions.
Responsibilities:
* Design, develop, and maintain data pipelines that ingest and process data from various structured and unstructured sources
* Build and optimize cloud-based data lakes and data platforms with a focus on scalability, performance, and reliability
* Develop data engineering and analytics solutions using modern cloud technologies and data processing frameworks
* Design, develop, and support enterprise data warehouse solutions and dimensional data models
* Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
* Participate in data architecture discussions, system design, and technical planning activities
* Contribute throughout the software development lifecycle using Agile methodologies
* Design and implement Medallion Architecture frameworks (Bronze, Silver, Gold layers) to support enterprise data initiatives
* Develop conceptual, logical, and physical data models and maintain associated documentation
* Partner with technical and business teams to review data models, ensure data quality, and support governance initiatives
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or a related technical field
* Minimum 5 years of experience in data ingestion, extraction, integration, and transformation
* Experience working with cloud-based data and analytics platforms
* Strong experience building and optimizing scalable data pipelines
* Experience working with modern data warehouse and data lake architectures
* Proficiency with SQL and Python
Preferred:
* 7+ years of experience designing and developing enterprise data solutions
* 7+ years of experience with integration architectures, including APIs, microservices, ETL/ELT frameworks, or related technologies
* 5+ years of hands-on experience with cloud-based data engineering services
* Experience working with relational and NoSQL databases, content management systems, search technologies, and large-scale data platforms
* Experience with JSON, XML, and semi-structured data processing
* Experience using modern source control and version management practices (Git/GitHub)
* Strong understanding of database architecture, performance tuning, and optimization
* Experience supporting business intelligence and reporting solutions
* Exposure to machine learning and artificial intelligence initiatives
* Experience with modern data modeling and data warehouse design tools
* Knowledge of Snowflake, DBT, and cloud-native analytics platforms preferred
* Strong problem-solving skills with the ability to manage multiple priorities
* Ability to work effectively in a collaborative Agile environment
* Excellent verbal and written communication skills with a strong sense of ownership, urgency, and accountability
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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