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Ai Evaluator Remote Jobs in Riverside, CA (NOW HIRING)

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... Develop evaluation harnesses for AI and LLM features including golden datasets, eval suites, and ...

First American

Trainer- Remote

Santa Ana, CA · On-site +1

$64K - $85K/yr

... and evaluation of training metrics and measurement components * Use AI-enabled tools, as ... Travel up to 75% to remote locations to deliver training What You'll Bring * 2+ years of experience ...

First American

Senior Software Engineer

Santa Ana, CA · On-site +1

$127K - $168K/yr

What We Do Remote Work Welcome Be part of a transformative team that is shaping the way First ... Establish evaluation strategies, cost monitoring, latency budgets, and guardrails that ensure AI ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

... evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help ... remote option. Why Join Field AI? We are solving one of the world's most complex challenges ...

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All JobsAi Evaluator JobsAi Evaluator Remote JobsAi Evaluator Remote Jobs in Riverside, CA

Ai Evaluator Remote information

See Riverside, CA salary details

$30.8K

$68.3K

$111.1K

How much do ai evaluator remote jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai evaluator remote in Riverside, CA is $68,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $82,900.00 per year, depending on experience, location, and employer.

What is an AI evaluator remote?

AI Evaluators are professionals who assess the performance, accuracy, and relevance of artificial intelligence systems, such as chatbots or search engines. Working remotely, they review AI-generated outputs, provide feedback, and help improve algorithms by identifying errors or biases. This role typically requires strong analytical skills and attention to detail, and may involve tasks like rating responses, annotating data, or validating search results. AI Evaluators play a crucial part in ensuring that AI technologies are reliable and user-friendly.

What are the key skills and qualifications needed to thrive as an AI evaluator remote?

To thrive as an AI Evaluator (Remote), you need strong analytical skills, attention to detail, and a solid understanding of language, often supported by a bachelor’s degree or relevant experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic programming or machine learning concepts is commonly required. Excellent communication, critical thinking, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate evaluation and improvement of AI systems, contributing to the development of reliable and ethical AI technologies.

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

Remote AI Evaluators often face challenges such as interpreting ambiguous data, maintaining focus during repetitive evaluation tasks, and communicating effectively with a distributed team. To manage these challenges, it's important to develop strong attention to detail, establish a structured daily routine, and utilize collaboration tools like Slack or project management platforms for clear communication. Regular check-ins with team leads and ongoing training also help evaluators stay aligned with project goals and quality standards.

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

AspectAi Evaluator RemoteData Annotator Remote
Required credentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work environmentRemote, flexible hoursRemote, flexible hours
Industry usageAI development, machine learningData labeling, dataset creation
Common search intentComparing roles in AI evaluationUnderstanding data annotation jobs

Ai Evaluator Remote and Data Annotator Remote roles both involve working remotely with similar skills like attention to detail. However, Ai Evaluators focus on assessing AI outputs for accuracy, while Data Annotators label data to train AI models. Both are essential in AI development but serve different functions within the industry.

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

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

What are popular job titles related to Ai Evaluator Remote jobs in Riverside, CA?

For Ai Evaluator Remote jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Evaluator Remote jobs in Riverside, CA look for?

The top searched job categories for Ai Evaluator Remote jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Evaluator Remote jobs?

Cities near Riverside, CA with the most Ai Evaluator Remote job openings:

Ai Evaluator Remote jobs near you
Infographic showing various Ai Evaluator Remote job openings in Riverside, CA as of August 2026, with employment types broken down into 47% Full Time, 29% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,304 per year, or $32.8 per hour.

Principal Software Engineer - AI Platform

NextDeavor Inc.

Irvine, CA • Remote

$190K - $200K/hr

Contractor

Re-posted 3 days ago

Job description

Principal Software Engineer – AI Platform
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Principal Software Engineer – AI Platform

You will lead the design and delivery of foundational AI platform capabilities that enable scalable, secure, and reliable AI-powered product experiences. You will influence cross-team architecture, partner with product and engineering stakeholders, and mentor engineers while working remotely.

Here's How You'll Make an Impact on the Team
  • Guide architecture for AI platform services and integrations
  • Build reusable infrastructure for AI-powered applications
  • Support AI evaluation, observability, and operational reliability
  • Partner with product and engineering teams to drive AI adoption
  • Mentor engineers and establish scalable engineering practices
Here's What You'll Need to Be Successful in This Role
  • 8+ years of software engineering experience
  • Strong Python backend and cloud platform expertise
  • Experience integrating LLM or AI APIs into production systems
  • Strong distributed systems and API design knowledge
  • Experience with modern platform engineering and DevOps practices
Pay Range

$190K - $200K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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