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Remote Artificial Intelligence Testing Jobs (NOW HIRING)

Statheros

Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for professional development and research contributions * Access to state-of-the-art resources and tools for AI ...

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How much do remote artificial intelligence testing jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote artificial intelligence testing in the United States is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $50.96 per hour, depending on experience, location, and employer.

What is the difference between Remote Artificial Intelligence Testing vs Remote Data Scientist?

AspectRemote Artificial Intelligence TestingRemote Data Scientist
Required CredentialsKnowledge of AI models, programming skills, testing frameworksDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentRemote, collaborative teams, AI development companiesRemote, research-focused or industry companies, data analysis teams
Employer & Industry UsageTech firms, AI startups, software companiesTech companies, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding AI testing roles, job requirementsData analysis, modeling, AI applications

Remote Artificial Intelligence Testing focuses on evaluating AI models and algorithms, ensuring their accuracy and reliability. Remote Data Scientists analyze data, build models, and derive insights. While both roles require programming skills and familiarity with data and AI, AI Testing emphasizes validation and quality assurance of AI systems, whereas Data Scientists focus on data analysis and model development.

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Remote Artificial Intelligence Testing jobs near you

USA_Artificial Intelligence Engineer

SQDM Corporation

Bellevue, WA • On-site, Remote

$138K - $182K/yr

Other

Posted 11 days ago

Job description

Senior AI Engineer

Location: Bellevue, WA (Hybrid — 3 days/week) or Remote

Role Overview

We're building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You'll help turn generative AI ideas into production-ready features, architect and ship AI-powered agents, and influence the long-term technical direction of our AI roadmap. You'll work closely with our existing product stack (Ruby on Rails + React) and leverage AWS AI infrastructure to deliver scalable, secure, high-performing systems.

Key Responsibilities

AI Agent Development

  • Design, build, and maintain intelligent, autonomous, or conversational AI agents to automate workflows and improve user productivity.
  • Implement agentic patterns and orchestration for real-world product use cases.

AI/ML System Development (End-to-End)

  • Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications using AWS AI services and open-source frameworks.
  • Own the AI lifecycle from concept and design through deployment, monitoring, and iteration.

Full-Stack Integration

  • Partner with backend (Ruby on Rails) and frontend (React) engineers to integrate AI-driven capabilities into the core product experience.
  • Build APIs/services that support reliable AI features and excellent UX.

Data Pipeline Management

  • Develop and manage robust pipelines for ingestion, processing, and transformation of real estate datasets to support model training and inference.
  • Ensure data quality, lineage, and consistency across workflows.

Performance Monitoring & Optimization

  • Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency, and cost efficiency.
  • Establish best practices for observability and performance tracking.

Collaboration & Technical Leadership

  • Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.
  • Contribute to coding standards, mentor peers, and help shape the long-term AI technical roadmap.

Innovation & Applied Research

  • Evaluate and apply new technologies in LLMs, Retrieval-Augmented Generation (RAG), and agentic AI to solve complex problems.
Qualifications (Required)
  • Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in AI/ML or software engineering roles with exposure to production-grade AI systems.
  • Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain (or equivalents).
  • Hands-on experience deploying AI models/services in a cloud environment (AWS preferred).
  • Strong understanding of data structures, algorithms, and distributed systems design.
  • Solid grasp of LLMs, Generative AI, and RAG methodologies.
  • Excellent collaboration skills and a track record of delivering results in cross-functional teams.
Preferred (Nice to Have)
  • Experience integrating AI into web applications built on Ruby on Rails and React.
  • Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Weaviate).
  • Exposure to MLOps tools and best practices (e.g., SageMaker, MLflow, CI/CD, model monitoring).
  • Interest in real estate or property technology (PropTech) applications.

Apply