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Data Rater Jobs in Phoenix, AZ (NOW HIRING)

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 ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform root-cause analysis on cost variances, billing discrepancies, and service failures across all ...

... Developer ( Data Analyst Level II) to join our customer in Phoenix Arizona. This is an ONSITE ... Rate, Current location and Availability. Disclaimer : The above statements are intended to describe ...

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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.
AI Content Rater - Ukrainian Language Specialist

AI Content Rater - Ukrainian Language Specialist

Welo Data

Mesa, AZ • Remote

$29/hr

Full-time

Posted 10 days ago


Job description

Job Title: AI Content Rater - Ukrainian Fluency

What if your expertise in Ukrainian language and writing could help improve the next generation of AI systems used by millions of people worldwide?

WHAT YOU’LL DO

  • Evaluate AI-generated responses for accuracy, grammar, and cultural relevance
  • Identify issues and provide high-quality rewritten responses
  • Create natural prompts and responses in Ukrainian to improve conversational AI datasets

YOU ARE A FIT IF YOU’RE…

  • Fluency in Ukrainian

PROJECT DETAILS

  • Location: Remote (Worldwide)
  • Employment Type: Freelance
  • Language: Ukrainian (Fluent)
  • Estimated Commitment: 8–10 hours

BENEFITS

  • $29.00 USD per hour
  • Fully remote and flexible work arrangement

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.