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Data Rater Jobs in California (NOW HIRING)

Data Engineer III

Newport Beach, CA · On-site

$70 - $75/hr

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... rater feedback. • Conduct data quality assessment on labeled sets to identify biases and refine the framework/training. • Collaborate with Data Science/Engineering to prototype, validate, and ...

Principle Data Engineer

San Diego, CA · On-site

$90.95 - $100.05/hr

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Data Aide

Stanford, CA · On-site

$30 - $33.25/hr

Data Manager Pay Rate Range: $30.00 - 33.25/hr (W2) Employment Type: Contract Duration: Approximately 6 months Schedule: Full-Time, Monday - Friday, Day Shift (40 hours/week) Location: Palo Alto, CA ...

Data Engineer III

Newport Beach, CA · On-site

$75 - $80/hr

Job#: 3044421 Data Engineer Location Newport Beach or Charlotte, NC Onsite 4 Days per week Rate: $75-80 an hour At this time, Apex is not able to consider candidates for this role who require visa ...

Our mission is to combine data science and human expertise to transform healthcare worldwide. We ... The rater will be responsible for administering validated clinicianrated instruments, ensuring high ...

... Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication

Data Analyst

Valencia, CA · On-site

$70K - $90K/yr

Enhance order review accuracy to improve cash collection rate, reduce write-offs and Accounts ... large data sets * Proficiency in Microsoft 365 (Excel (Expert), Outlook, PowerPoint, Word ...

Data Analyst

San Diego, CA · On-site

$24/hr

San Diego, California 92121 Duration: 12 months Pat rate: $24/hr on W2 Responsibilities: Collect, explore, evaluate and transform data from databases, flat files, spreadsheets, and other data sources.

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Data Rater information

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 the most commonly searched types of Data Rater jobs in California?

The most popular types of Data Rater jobs in California are:

What are popular job titles related to Data Rater jobs in California?

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

What job categories do people searching Data Rater jobs in California look for?

The top searched job categories for Data Rater jobs in California are:

Infographic showing various Data Rater job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer III

Judge Group, Inc.

Newport Beach, CA • On-site

$70 - $75/hr

Other

Re-posted 3 days ago


Job description

Location: Newport Beach, CA Salary: $70.00 USD Hourly - $75.00 USD Hourly Description: Our client is currently seeking a Data Engineer III
TECHNICAL SKILLS
Must Have
Minimum 1year hands on experience (not just training or POC) in using Git and Python
Minimum 2 year hands on ETL development experience using DBT
Minimum 2 year hands on experience working with SQL and Snowflake database
Job Description
Location Newport Beach or Charloette
Work with technology and business stakeholders to understand data requirements
Exposure to data warehousing concepts and must have participated in various implementations building data hubs, data marts etc.
Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources such as Flat Files, SQL, AWS RDS, S3 etc. and help centralize the information on Snowflake.
Hands on experience in ingestion, transformation, and database technologies.
Expertise in SQL, complex query writing, query organization, optimization.
Create unit/integration tests and implement automated build and deployment.
Participate in code reviews to ensure standards and best practices.
Deploy, monitor, and maintain production systems.
Create and update user stories in backlog, participate in agile scrum ceremonies.
Collaborate with product owner, analysts, architects, QA and other team members
The experience you will bring:
Minimum 2-year hands on ETL development experience using DBT
Minimum 5+ year hands on experience working with SQL and Snowflake database
Minimum 1-year hands on experience (not just training or POC) in using Git and Python
Strong communication skills and work in collaborative environments.
What will make you stand out:
Hands on Experience in ELT development using Matillion (ingestion tool), DBT (transformation tool) and Snowflake (Database technology)
Experience working with Azure Dev Ops, Build and Release CI/CD pipelines
Experience working with AWS and Control M
Experience coding complex transformations (not just extract/load mappings) in DBT
Typical Qualifications:
5+ years of data engineering experience
BS Degree: IT or Computer Science or Engineering
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!