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Ai Data Analytics Jobs in Riverside, CA (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Essc

Director, Data Engineering

Irvine, CA

Partners with the VP, Enterprise Data & Analytics to develop and execute long-term data strategies leveraging cloud technologies, AI, and industry best practices to enable advanced analytics and ...

Softchoice

Data and AI Customer Solutions Architect

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with Bedrock, SageMaker, and a range of data analytics services, including an understanding of patterns for Amazon Q and related guardrails. * Google Cloud: Experience with Vertex AI ...

Armaninollp

Senior Data & AI Platform Engineer

Irvine, CA

$72.25 - $96.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data & Analytics Platform Leadership * Serve as the technical authority across a core platform ... Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

FieldAI is transforming how robots interact with the real world by building risk-aware AI systems. The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

FieldAI is transforming how robots interact with the real world by building risk-aware AI systems. The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Riverside, CA

Ai Data Analytics information

See Riverside, CA salary details

$25

$57

$98

How much do ai data analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai data analytics in Riverside, CA is $57.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What are popular job titles related to Ai Data Analytics jobs in Riverside, CA?

For Ai Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Riverside, CA look for?

The top searched job categories for Ai Data Analytics jobs in Riverside, CA are:

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Cities near Riverside, CA with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you

Field Data Analyst

FieldAI

Irvine, CA

$75K - $115K/yr

Full-time

Re-posted 22 days ago

Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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