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Ai Task Reviewer Jobs in Riverside, CA (NOW HIRING)

Fujifilm

Director Data AI & Analytics

Irvine, CA · On-site

... task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs non-GxP AI; ensure intended use, explainability, validation/CSA, and periodic review ...

Pwc

ERP AI Engineer - Manager

Irvine, CA · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts ...

Planet DDS

QA Engineer III (AI-Powered)

Irvine, CA

$40 - $55/hr

Contribute to code reviews, design reviews, effort estimates, task breakdowns, and other team ... Track record using AI-powered software testing tools like Applitools, Testim, Mabl, TestRigor ...

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How much do ai task reviewer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai task reviewer in Riverside, CA is $31.18, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $38.12 per hour, depending on experience, location, and employer.

How to become an AI task reviewer?

To become an AI task reviewer, candidates typically need strong attention to detail, good understanding of AI and machine learning concepts, and experience with data annotation or content moderation. Relevant skills include familiarity with review tools and platforms, and some roles may require a background in linguistics, computer science, or related fields. Gaining experience through online courses or certifications can also improve prospects in this role.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines, and they are commonly offered by reputable companies in the tech industry.

What is the difference between Ai Task Reviewer vs Data Annotator?

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

What are popular job titles related to Ai Task Reviewer jobs in Riverside, CA? For Ai Task Reviewer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Task Reviewer jobs in Riverside, CA look for? The top searched job categories for Ai Task Reviewer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Task Reviewer jobs? Cities near Riverside, CA with the most Ai Task Reviewer job openings:
Ai Task Reviewer jobs near you
Infographic showing various Ai Task Reviewer job openings in Riverside, CA as of August 2026, with employment types broken down into 57% Full Time, 24% Part Time, and 19% Contract. Highlights an 57% In-person, 6% Hybrid, and 37% Remote job distribution, with an average salary of $64,849 per year, or $31.2 per hour.

Director Data AI & Analytics

Fujifilm

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Fujifilm rating

8.4

Company rating: 8.4 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

50th of 536 rated manufacturers

Job description

Position Overview
Position Description
We are hiring a Director Data, AI and Analytics. The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM life-sciences businesses. In highly regulated GxP environments, deliver a trusted data backbone, governed self-service analytics, advanced analytics, bioinformatics pipelines, and agentic AI-meeting 21 CFR Part 11/EU Annex 11, ALCOA+, and CSV/CSA expectations. Lead a cross-site team (CoE + domain squads), partner with QA/CSV, Security, Lab IT, M&Q Systems, and ERP, and convert data and AI into measurable business value.
This position is hybrid in Irvine, CA.
Company Overview
At FUJIFILM Biosciences, we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and critical assay materials, we partner with the brightest minds in biotech and pharma to tackle the world's biggest health challenges.
Imagine being part of a team that enables life-changing discoveries like new vaccines, therapies, and advancements in regenerative medicine. Our culture fosters curiosity, collaboration, and innovation, and we pride ourselves on delivering unparalleled quality and service to our partners. If you're ready to make an impact, your future belongs with us at FUJIFILM Biosciences.
Our headquarters in Santa Ana, California, is surrounded by world-class schools, lush parks, and scenic beaches like Laguna and Huntington, making it an ideal place to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we offer opportunities to make a difference worldwide.
Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: https://www.fujifilm.com/us/en/about/region/careers
Job Description
Responsibilities:
  • Define the multi-year Data/AI roadmap for locations in California and Wisconsin; align to business priorities and compliance needs.
  • Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D/Bioinformatics, Finance/SC).
  • Run governance: Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership.
  • Own the enterprise data platform (lakehouse/warehouse), ingestion (ELT/CDC), orchestration, and semantic/metric layers.
  • Implement catalog/lineage, data quality rules, access controls; drive data product SLAs and ownership.
  • Integrate core systems: MES (e.g., PAS-X), QMS (ETQ/Veeva), LIMS/ELN (LabWare/Benchling), ERP (e.g., SAP/Oracle), OSI PI/AVEVA, and instrument data hubs.
  • Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC throughput, inventory turns, cost-to-serve).
  • Enable governed self-service (certified datasets/semantic models, KPI library, training, community of practice).
  • Lead data science programs for manufacturing quality, supply chain, and R&D.
  • Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and integration with lab systems and data platforms.
  • Build responsible and agentic AI capabilities (assistants/co-pilots, retrieval/grounding, task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs non-GxP AI; ensure intended use, explainability, validation/CSA, and periodic review for regulated models.
  • Embed compliance by design: 21 CFR Part 11, Annex 11, ALCOA+, data retention/archival, audit trails.
  • Partner with QA/CSV on risk-based validation, test evidence, and inspections; maintain validated state for applicable analytics/data flows.
  • Coordinate with Corporate Security on classification, RBAC/least privilege, encryption, logging/monitoring, and incident response for data/AI workloads.
  • Govern AI safety: model cards, red-team testing, bias/fairness checks, PHI/PII safeguards, vendor due diligence.
  • Prioritize a portfolio of use cases with quantified value; pilot, scale winners, retire low-value work.
  • Publish a quarterly "Data & AI Outcomes" report (business impact, adoption, cost/performance, compliance posture).
  • Select and govern platform vendors (cloud, data/ML, BI, bioinformatics tools) and SIs; negotiate commercials, SLAs, exit terms.
  • Drive FinOps: usage visibility, rightsizing, tiered storage, and cost/performance optimization.
  • Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics engineers, and product managers.
  • Build cross-site career paths and a culture of reliability, compliance, and measurable impact.

Required Skills/Education:
  • BS/BA (or equivalent) in Business, Computer Science, Data Science or Bioinformatics or similar.
  • 10+ years leading Data/Analytics functions with 5+ years in regulated life sciences (biotech, pharma, CDMO); multi-site/global experience.
  • Demonstrated people management experience, including building, mentoring, and leading high-performing teams.
  • Ownership of enterprise data platforms (lakehouse/warehouse), analytics programs, and MLOps in production.
  • Strong GxP/CSV/CSA knowledge with practical application in analytics/AI and data flows; 21 CFR Part 11/Annex 11/ALCOA+.
  • Hands-on familiarity with bioinformatics analytics/pipelines (e.g., NGS/omics, imaging, workflow orchestration) and integration with LIMS/ELN and lab systems.
  • Proven record converting Data/AI programs into business outcomes (e.g., cycle time, yield/FPY, cost, quality).
  • Cross-functional leadership with QA/CSV, Manufacturing/Quality, R&D, Security, ERP/MES/QMS owners, and vendors.
  • Excellent executive communication and pragmatic technical guidance.
  • Platforms: Databricks/Snowflake/BigQuery; Azure/AWS data services; Spark; DBT; Airflow/Prefect; Kafka/EventHub.
  • BI: Power BI/Tableau; semantic/metrics layers; KPI governance.
  • MLOps/AI: MLflow/W&B, SageMaker/Azure ML; vector DBs/RAG; LLM orchestration; agent frameworks; feature stores.
  • Bioinformatics: Nextflow/Snakemake, CWL/WDL; common tools (e.g., GATK) or imaging/omics pipelines; HPC/containers.
  • Governance: Collibra/Alation/Atlan; model risk management/AI governance.
  • Certifications: GAMP 5/CSA, ITIL, cloud (Azure/AWS), or data governance certifications.
  • Ability to speak, read, and write in English.
  • Good verbal and written communication skills; effective presentation skills.

Salary and Benefits:
  • For California, the base salary range for this position is $154,565.00 - $216,100. Compensation for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience, location, etc.).
  • Medical, Dental, Vision
  • Life Insurance
  • 401k
  • Paid Time Off

*#LI-hybrid
EEO Information
Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.
ADA Information
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department (flbi@fujifilm.com).

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About Fujifilm

Sourced by ZipRecruiter

With each Industry we enter, We’ve learned to Leverage and Adapt our knowledge, Expertise and rRsources to make the World a better place. When it comes to Innovating for a Healthier World and a more sustainable society, we’ll NEVER STOP. Fujifilm will contribute to the social challenges by creating new value in a wide range of business domains through innovation in Products, Services, and Technological Development. We launched our Healthcare Business with X-ray film in 1936. And now, We are developing our business in areas of prevention, diagnosis, and treatment as a Comprehensive Healthcare Company. We will never stop Innovating for a Healthier World.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Minato-ku, Tokyo, JP

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