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Entry Level Data Labeling Analyst Jobs in Riverside, CA

auction

Data Analyst - Irvine, CA.

Irvine, CA · On-site +1

Entrylevel candidates are encouraged to apply; internship, coop, academic project, or early professional experience in data analysis, reporting, business analytics, or a related field is a plus

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Labeling Analyst information

See Riverside, CA salary details

$13

$34

$64

How much do entry level data labeling analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level data labeling analyst in Riverside, CA is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 per hour, depending on experience, location, and employer.

What are some typical daily tasks for an Entry Level Data Labeling Analyst, and how do they contribute to larger projects?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an Entry Level Data Labeling Analyst, and why are they important?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What are Entry Level Data Labeling Analysts?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.
What are popular job titles related to Entry Level Data Labeling Analyst jobs in Riverside, CA? For Entry Level Data Labeling Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Labeling Analyst jobs in Riverside, CA look for? The top searched job categories for Entry Level Data Labeling Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Data Labeling Analyst jobs? Cities near Riverside, CA with the most Entry Level Data Labeling Analyst job openings:
Entry Level Data Labeling Analyst jobs near you
Data Analyst - Irvine, CA.

Data Analyst - Irvine, CA.

auction

Irvine, CA • On-site, Remote

Other

Posted 11 days ago

Job description

Data Analyst – Strategic Planning and Analytics

  • The Data Analyst supports reporting and analysis of Company and Client performance across Online Operations, Foreclosure/Trustee Operations, and Business Development teams. As a member of the Strategic Planning and Analytics team, this role is responsible for building, executing, and maintaining recurring and ad hoc reports while ensuring data accuracy and clarity.

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  • A critical component of this role is developing a strong understanding of the real estate and default servicing industries, including the operational, financial, and process drivers that impact Company and Client performance. The ideal candidate is curious, analytically minded, and motivated to learn how data is used to support decision-making in a complex, regulated business environment

Responsibilities/Duties:

  • Provide reporting and analytical support to operational teams, helping convey Company and Client performance through accurate and timely metrics, dashboards, and analyses
  • Build, execute, and maintain recurring and ad hoc reports used by internal stakeholders and external clients, ensuring data accuracy and consistency
  • Develop a strong working knowledge of the real estate and default servicing industries, including foreclosure processes, mortgage servicing workflows, and the operational drivers that impact performance metrics.
  • Assist in the design and enhancement of reports that meet defined business and operational requirements, incorporating feedback from stakeholders 
  • Execute and maintain reporting solutions using existing tools and queries, including AWS Athena, Excel, Power BI, and other reporting platforms.
  • Support the documentation, validation, and ongoing maintenance of datasets and reporting tables used for management and operational reporting. Identify, investigate, and help remediate data integrity issues prior to report delivery, escalating concerns as appropriate 
  • Adhere to defined reporting schedules and deliverables while remaining flexible to changing business priorities and urgent requests 
  • Partner with the Data Engineering team to ensure consistency and reliability of data used across reports and functional areas
  • Fulfill ad hoc analytical requests for business leaders, providing clear explanations of findings and limitations
  • Maintain clear and proactive communication with business partners regarding work status, priorities, and expected delivery timelines 
  • Support the development of new business metrics and assist with exploratory, testandcontrol, or validation analyses as needed
 

Knowledge, Skills and Abilities

Proficient in the Microsoft Office Suite, with advanced Microsoft Excel skills (formulas, pivot tables, data validation) required

  • Foundational to intermediate SQL skills, including the ability to write, understand, and modify queries; experience with AWS Athena is preferred 
  • Exposure to business intelligence and reporting tools such as Power BI, Tableau, or SSRS 
  • Demonstrates a strong interest in learning the real estate and default servicing industries, including the ability to translate operational processes into meaningful analytical insights 
  • Basic understanding of data warehousing and data lake concepts; familiarity with enterprise data warehouse structures (e.g., star schema) is a plus
  • Strong analytical, problemsolving, and criticalthinking skills, with the ability to interpret data and identify trends or anomalies 
  • Demonstrates strong attention to detail and a commitment to data accuracy and quality prior to report delivery
  • Effective timemanagement and organizational skills, with the ability to manage multiple tasks and competing priorities in a fastpaced environment 
  • Comfortable collaborating with crossfunctional partners and communicating analytical findings to stakeholders at varying levels of the organization 
  • Strong written and verbal communication skills, with the ability to explain data and results clearly and concisely
  • Demonstrates curiosity, adaptability, and a willingness to learn new tools, concepts, and business processes

Education/Experience

  • Bachelor’s degree in Economics, Finance, Information Technology, Statistics, Mathematics, or another quantitative discipline required; equivalent practical experience may be considered 
  • Entrylevel candidates are encouraged to apply; internship, coop, academic project, or early professional experience in data analysis, reporting, business analytics, or a related field is a plus 
  • Prior experience in real estate, mortgage servicing, default servicing, foreclosure, or financial services is preferred but not required 
  • Demonstrated interest in learning the real estate and default servicing industries, including a willingness to develop an understanding of industry terminology, workflows, and performance drivers through onthejob experience 
  • Experience working with data in an academic, internship, or professional setting—such as analyzing datasets, building reports, or supporting business decisions—is highly desirable.

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