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Remote Ai Tester Jobs in California (NOW HIRING)

Thai AI Product Tester Location: 100% Remote, located in the U.S. Device: Applicants must have a qualifying Google Pixel device for the duration of the project Compensation: USD $250.00 upon ...

Remote Job Overview We are seeking experienced Travel Operations Experts to support an AI training ... The role involves testing real-world travel scenarios, evaluating AI-supported tools, and providing ...

Remote Job Overview We are seeking experienced Travel Operations Experts to support an AI training ... The role involves testing real-world travel scenarios, evaluating AI-supported tools, and providing ...

Design Expert - Remote

San Francisco, CA · On-site +1

$30 - $70/hr

Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI ... Vibecoding / AI-Assisted Development * Human-Centered Design * User Research & Usability Testing

Design Expert - Remote

Palo Alto, CA · On-site +1

$30 - $70/hr

Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI ... Vibecoding / AI-Assisted Development * Human-Centered Design * User Research & Usability Testing

Design Expert - Remote

Los Angeles, CA · On-site +1

$30 - $70/hr

Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI ... Vibecoding / AI-Assisted Development * Human-Centered Design * User Research & Usability Testing

Design Expert - Remote

San Jose, CA · On-site +1

$30 - $70/hr

Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI ... Vibecoding / AI-Assisted Development * Human-Centered Design * User Research & Usability Testing

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Remote Ai Tester information

What is a remote AI tester?

Remote AI Testers are professionals who evaluate and validate artificial intelligence systems, algorithms, or applications from a remote location. Their primary role is to ensure that AI models work as intended by testing for accuracy, reliability, and potential biases. They may create test cases, report bugs, and provide feedback to development teams to help improve AI products. This job often requires technical knowledge of AI, attention to detail, and strong communication skills. Working remotely allows AI testers to collaborate with teams globally and test software in various real-world environments.

What are the key skills and qualifications needed to thrive as a remote AI tester, and why are they important?

To thrive as a Remote AI Tester, you need a strong understanding of software testing principles, programming basics (such as Python), and familiarity with AI/ML concepts, often supported by a degree in computer science or related field. Experience with testing frameworks, version control systems like Git, and bug tracking tools such as Jira is typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for this role. These skills ensure accurate evaluation of AI systems, reliable test coverage, and seamless collaboration with distributed teams.

What are some common challenges faced by remote AI testers, and how can they be addressed?

Remote AI Testers often encounter challenges such as limited direct communication with development teams and difficulties in understanding complex AI models without in-person support. To address these, it’s important to proactively schedule regular virtual meetings, document testing procedures thoroughly, and leverage collaboration tools to share findings efficiently. Staying updated with the latest testing frameworks and maintaining a strong self-management routine can also help ensure productivity and quality while working remotely.

What is the difference between Remote Ai Tester vs Remote Data Annotator?

AspectRemote Ai TesterRemote Data Annotator
Required CredentialsBasic understanding of AI/ML concepts, sometimes certifications in testing or QAAttention to detail, training in annotation tools, no formal certifications required
Work EnvironmentRemote, often collaborative with AI development teamsRemote, focused on data labeling and annotation tasks
Industry UsageAI development, machine learning projectsData preparation for AI models, machine learning datasets
Common Search/ComparisonYesYes

Remote Ai Testers and Remote Data Annotators both work remotely in AI-related fields. While Ai Testers focus on evaluating AI models' performance and accuracy, Data Annotators prepare and label data for training AI systems. Both roles require attention to detail and familiarity with AI workflows, but Ai Testers often need a basic understanding of AI concepts, whereas Data Annotators primarily focus on data labeling tasks.

What are the most commonly searched types of Ai Tester jobs in California?

The most popular types of Ai Tester jobs in California are:

What are popular job titles related to Remote Ai Tester jobs in California?

For Remote Ai Tester jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Ai Tester jobs?

Cities in California with the most Remote Ai Tester job openings:

Infographic showing various Remote Ai Tester job openings in California as of August 2026, with employment types broken down into 2% Internship, 71% Full Time, 6% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.

Adobe Marketing Technology Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$50 - $70/hr

Full-time

Posted 17 days ago


Job description

Adobe Marketing Technology Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Adobe Marketing Technology Experts to support an AI training and evaluation project focused on enterprise marketing operations. The role involves testing marketing technology workflows, evaluating AI-generated outcomes, and providing practical feedback based on real-world experience.

Key Responsibilities
  • Test and evaluate marketing workflows using Adobe Workfront, AEM, Customer Journey Analytics (CJA), Adobe Analytics, and Experience Cloud.
  • Assess integrations between content, campaign management, analytics, and digital experience platforms.
  • Identify workflow errors, inefficiencies, inconsistencies, and unrealistic AI-generated outcomes.
  • Provide clear feedback on usability, workflow accuracy, and user experience.
  • Recommend improvements based on enterprise marketing and content operations best practices.
  • Document findings and provide actionable feedback for AI model improvement.
  • Evaluate relevant tool connectors and workplace integrations.
  • Collaborate with project teams through structured feedback and documentation.
Required Qualifications
  • Hands-on experience with Adobe Workfront, AEM, CJA, Adobe Analytics, or Experience Cloud.
  • Strong understanding of enterprise marketing, content, campaign, and digital experience workflows.
  • Ability to evaluate and optimize marketing technology processes.
  • Strong attention to detail and professional judgment.
  • Excellent written and verbal communication skills.
  • Ability to identify practical versus unrealistic workflow scenarios.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Experience with Zoho Campaigns or similar marketing platforms.
  • Familiarity with ChatGPT, Claude, or other AI tools.
  • Experience in technology testing, workflow evaluation, or digital transformation projects.
  • Experience documenting process improvements and technical feedback.
Core Skills

Adobe Workfront | AEM | Customer Journey Analytics | Adobe Analytics | Experience Cloud | Marketing Technology | Content Operations | Campaign Management | Zoho Campaigns | ChatGPT | AI Evaluation | Workflow Optimization | Quality Assurance