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Data Rater Jobs in Plano, TX (NOW HIRING)

Judge Group, Inc.

Data Engineer

Plano, TX · On-site

$70 - $75/hr

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Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

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Judge Group, Inc.

Data Scientist - IV

Irving, TX · On-site

$70 - $75/hr

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Judge Group, Inc.

DATA SCIENTIST - IV

Irving, TX · On-site

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Judge Group, Inc.

Data Analyst - IT - II

Irving, TX · On-site

$35 - $40/hr

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All JobsData Rater JobsData Rater Jobs in Plano, TX

Data Rater information

See Plano, TX salary details

$9

$27

$71

How much do data rater jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data rater in Plano, TX is $27.45, according to ZipRecruiter salary data. Most workers in this role earn between $14.63 and $30.89 per hour, depending on experience, location, and employer.

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 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 popular job titles related to Data Rater jobs in Plano, TX?

For Data Rater jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Data Rater jobs in Plano, TX look for?

The top searched job categories for Data Rater jobs in Plano, TX are:

What cities near Plano, TX are hiring for Data Rater jobs?

Cities near Plano, TX with the most Data Rater job openings:

Data Rater jobs near you
Infographic showing various Data Rater job openings in Plano, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $57,105 per year, or $27.5 per hour.

Data Engineer

Plano, TX • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Judge Group, Inc.external

$70 - $75/hr

Other

Re-posted 9 days ago

Job description

Location: Plano, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description: Our client is currently seeking a Data Engineer with strong experience in data modeling, data warehousing, and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS services and a strong foundation in SQL and big data technologies. You will play a key role in building and optimizing scalable data pipelines and ensuring data quality across systems.
Required Qualifications
  • 5+ years of experience in data modeling, data warehousing, data analysis, and data profiling
  • Strong ability to identify trends, patterns, and anomalies in large datasets
  • Hands-on experience with AWS services, including:
    • S3
    • AWS Glue
    • EMR
    • IAM roles and permissions
  • Proficiency in one or more query/programming languages:
    • SQL, PL/SQL, DDL
    • SparkSQL, Scala
  • Experience working with relational databases (e.g., Teradata)
  • Experience handling both structured and unstructured data

Preferred Qualifications
  • Strong programming skills in SQL and Python
  • Experience with NoSQL / non-relational databases such as:
    • Document stores
    • Key-value databases
    • Graph or column-family databases
  • Hands-on experience with Snowflake and Databricks

Nice to Have
  • Experience with visualization tools such as Tableau or Power BI
  • Understanding of financial services industry data and business processes
  • AWS certifications (e.g., Cloud Practitioner, Developer Associate)

Education & Additional Skills
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field (or equivalent experience)
  • Experience with scripting languages such as Python or Shell (KornShell/Bash)

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Perform data profiling and quality checks to ensure data integrity
  • Work with large datasets in both batch and distributed processing environments
  • Collaborate with cross-functional teams to gather and deliver data requirements
  • Optimize data storage, processing, and querying for performance efficiency

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