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Data Rater Jobs in Phoenix, AZ (NOW HIRING)

The Data Scientist II balances AI and analytical rigor, speed of execution, and solution ... Average handle time, containment rate, deflection rate, NPS, customer sentiment, etc)

The Data Scientist II balances AI and analytical rigor, speed of execution, and solution ... Average handle time, containment rate, deflection rate, NPS, customer sentiment, etc)

Responsibilities State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for ...

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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 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:
What job categories do people searching Data Rater jobs in Phoenix, AZ look for? The top searched job categories for Data Rater jobs in Phoenix, AZ are:
Infographic showing various Data Rater job openings in Phoenix, AZ as of August 2026, with employment types broken down into 71% Full Time, 21% Part Time, and 8% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $57,466 per year, or $27.6 per hour.

Senior Data Scientist - Operations & Analytics

Kforce Technology Staffing

Phoenix, AZ โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Phoenix, AZ that is seeking a Senior Data Scientist - Operations & Analytics.
Summary:
This is not a -heads-down- data science role-this is a leadership seat at the table. As a Senior Data Scientist, you'll drive high-impact analytics and machine learning initiatives that directly influence operational strategy and execution. You'll work end-to-end: from problem framing and data discovery to production deployment and performance measurement-while mentoring a growing team of data scientists. You'll tackle real-world, complex problems using a powerful blend of GenAI, predictive modeling, and optimization, translating advanced analytics into clear, actionable business outcomes. This role is ideal for someone who enjoys owning outcomes, influencing strategy, and building scalable analytics solutions that actually get used.
Responsibilities include:
* Lead and deliver advanced data science initiatives across forecasting, optimization, experimentation, and machine learning
* Build and deploy production-ready models (statistical, ML, and AI) in cloud environments
* Perform time-series analysis, demand forecasting, hypothesis testing, and causal inference
* Design and analyze experiments to drive measurable operational improvements
* Transform large, complex datasets into actionable insights and executive-level recommendations
* Partner with business leaders to define and execute a data science roadmap
* Translate advanced analytics and AI concepts for non-technical audiences
* Mentor and elevate data scientists through best practices in modeling, experimentation, and analytics engineering
* Identify new, innovative ways to leverage enterprise data for competitive advantage
REQUIREMENTS:
* Bachelor's degree in a STEM field (Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering)
* Master's degree preferred
* 5+ years of data science experience, with demonstrated leadership or mentorship responsibilities
* Seasoned data science leader with depth, versatility, and strong business instincts
* Strong hands-on expertise in forecasting and demand modeling
* Advanced proficiency in Python or R, SQL, and cloud-based analytics environments (AWS or similar)
* Experience deploying machine learning or AI models into production
* Strong background in statistical modeling (regression, clustering, decision trees, experimentation, time series)
Proven experience across three data science domains (must be highly proficient in at least two, with working knowledge of all three):
* Generative AI
* Traditional statistics & machine learning
* Operations Research/Optimization
Nice to have:
* Logistics, supply chain, fleet, trucking, or distribution analytics
* Optimization use cases such as routing, pricing, maintenance, or resource planning
* Experience working closely with senior business stakeholders
Work Model Notes:
* Hybrid role based in Phoenix, AZ (4 days onsite per week)
* Hiring decision contingent on completion of onsite process
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.