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Senior Ai Data Trainer Jobs in Riverside, CA (NOW HIRING)

Sr Data Engineer - Databricks

Irvine, CA ยท Hybrid

$123K - $147K/yr

Experience supporting Power BI reporting and self-service analytics initiatives ABOUT ADASTRA Adastra is a global leader in AI and data-driven transformation, helping organizations lead with ...

Sr. Data Scientist

Irvine, CA ยท On-site

$114K - $220K/yr

Responsibilities As a Machine Learning and Data Engineer on the Data Analytics and AI Enablement ... Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training ...

Sr Data Engineer

Irvine, CA ยท On-site

$122K - $147K/yr

About this opportunity - Sr Data & AI Engineer - ON-SITE: IRVINE, CA Description ... The Data & AI Engineer at Balt is part of the Group Data division within the IT team and will ...

Sr Data Engineer

Irvine, CA

$122K - $147K/yr

About this opportunity - Sr Data & AI Engineer - ON-SITE: IRVINE, CA Description ... The Data & AI Engineer at Balt is part of the Group Data division within the IT team and will ...

... training, broad employee education, role-specific training tracks, and a consistent internal AI ... Strong collaboration skills with data engineering, governance, security, and AI product teams ...

Senior Data Scientist

Irvine, CA ยท On-site

$108 - $153/hr

Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms ... As a Senior Data Scientist, you own modeling for a clinical or product domain, drive problem ...

Showing results 41-60

Senior Ai Data Trainer information

See Riverside, CA salary details

$25.6K

$80.7K

$142.4K

How much do senior ai data trainer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior ai data trainer in Riverside, CA is $80,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $104,300.00 per year, depending on experience, location, and employer.

What is a senior AI data trainer?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

What are the key skills and qualifications needed to thrive as a senior AI data trainer?

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by senior AI data trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

What are the most commonly searched types of Ai Data Trainer jobs in Riverside, CA?

The most popular types of Ai Data Trainer jobs in Riverside, CA are:

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

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

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

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

What cities near Riverside, CA are hiring for Senior Ai Data Trainer jobs?

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

Sr Data Engineer - Databricks

Adastra Corporation

Irvine, CA โ€ข Hybrid

$123K - $147K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Overview

Adastra is looking for a hands-on Data Engineer to join our team supporting a modern enterprise data platform. You'll design and run Databricks pipelines that turn raw operational, marketing, and retail data into trusted, analytics-ready data products the business relies on every day.

Working as an embedded member of the data team, you'll own pipelines end to end on the Databricks Lakehouse Platform. If you love clean data, well-tuned Spark jobs, and shipping solutions that people actually use, this role is for you.

Primary Location: Across Canada or USA

Work Model: Hybrid 2-Days Onsite

Employment Type: Full-Time or Contractor

Vacancy Status: New

RESPONSIBILITIES

  • Design, build, and maintain scalable batch and streaming pipelines on Databricks using PySpark and Spark SQL within a medallion (Bronze/Silver/Gold) architecture
  • Ingest and unify data from operational databases, cloud storage, APIs, and marketing platforms such as Braze
  • Model and optimize Delta Lake tables for performance, reliability, and cost efficiency using techniques such as partitioning, liquid clustering, OPTIMIZE, and VACUUM
  • Deliver analytics-ready data for reporting on sales, shipments, orders, and other key business metrics, supporting Power BI dashboards and downstream analytics
  • Orchestrate jobs using Databricks Workflows, managing dependencies, retries, alerting, and SLAs
  • Apply Unity Catalog for data governance, lineage, and access control
  • Work to a high engineering standard using Git, CI/CD, testing, code reviews, and clear documentation
  • Monitor pipeline health, troubleshoot issues, and tune Spark jobs and cluster configurations for speed and cost optimization
  • Partner with business and technical stakeholders to deliver reliable, high-quality data products

QUALIFICATIONS, SKILLS & EXPERIENCE

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field
  • 5+ years of data engineering experience building and operating production data pipelines
  • Hands-on expertise with the Databricks Lakehouse Platform, including Delta Lake, Databricks Workflows, and Unity Catalog
  • Advanced experience with PySpark and Spark SQL
  • Strong SQL development and performance tuning skills
  • Solid Python development skills and experience with modern engineering practices
  • Experience using Git, CI/CD pipelines, testing frameworks, and code review processes
  • Experience working with AWS, Azure, or GCP and their core compute and storage services
  • Strong understanding of data modeling concepts, including dimensional and medallion architectures
  • Experience designing ELT/ETL solutions and integrating data from databases, APIs, files, and event streams
  • Strong communication skills and the ability to work independently within a client-facing environment

NICE TO HAVE

  • Databricks Certified Data Engineer Associate or Professional certification
  • Experience with Structured Streaming, Auto Loader, Kafka, or Kinesis
  • Experience working with marketing or customer data platforms such as Braze
  • Retail, grocery, or consumer packaged goods (CPG) industry experience
  • Experience supporting Power BI reporting and self-service analytics initiatives

ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence-responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world's most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey-building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

WHAT WE OFFER

  • Opportunity for advancement and career progression
  • Competitive compensation package
  • Comprehensive benefits plan
  • Successful referral program
  • The opportunity to work with one of Canada's 50 Best Managed Companies
  • Satisfaction of working for a reputable companyย 
  • A flexible, dynamic, and diverse workplace

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code.ย ย In addition, accommodation will be provided during the hiring process. Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.

AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from '@adastragrp.com' or '@talent.icims.com' are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.

Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.

Employment Type: OTHER