1

Ai Rater Jobs in Oregon (NOW HIRING)

OR · On-site

$124K - $148K/yr

As an AI Platform Engineer (SDE 2), you will be a hands-on developer responsible for building and ... Actual pay rates will vary and will be based on various factors, such as your qualifications ...

OR · On-site

$140K - $185K/yr

As an AI Platform Engineer (SDE 3), you will be a key builder of the high-performance software ... Actual pay rates will vary and will be based on various factors, such as your qualifications ...

OR · On-site

$124K - $148K/yr

As an AI Platform Engineer (SDE 2), you will be a hands-on developer responsible for building and ... Actual pay rates will vary and will be based on various factors, such as your qualifications ...

OR · On-site

$140K - $185K/yr

As an AI Platform Engineer (SDE 3), you will be a key builder of the high-performance software ... Actual pay rates will vary and will be based on various factors, such as your qualifications ...

OR · On-site

About The Role Motive is investing deeply in AI cameras and video safety as the physical backbone ... rates). * Drive go-to-market readiness by partnering with Product Marketing, Sales, Customer ...

OR · On-site

$33 - $36.50/hr

By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved ... This is contract role paid in an hourly rate, based on a 40 hour work week. The offer range is $33 ...

$179K - $231K/yr

AI Security Review Board (SRB) Representation: Represent the CISO organization on the Enterprise ... Ensure the platform provides robust rate limiting, quota management, kill-switch controls, and full ...

As a Principal Product Manager - AI Applications, you will own the strategy and execution for our ... Establishing success metrics such as template usage, iteration rate, timetovalue, retention, and ...

$90K - $100K/yr

As the AI Policy Lead, you will be the primary point of contact for client policy compliance ... Base Pay $90,000 - $100,000 / year Actual rate of pay may vary based on factors including, but not ...

$90K - $100K/yr

As the AI Policy Lead, you will be the primary point of contact for client policy compliance ... Base Pay $90,000 - $100,000 / year Actual rate of pay may vary based on factors including, but not ...

Software Development Manager, AI Builder Tools

OR · Remote

$123K - $162K/yr

... PR rates, adoption metrics, and quality guardrails. * Collaborate with Recruiting and other ... Bonus: you've shipped an AI coding agent or contributed to a DevEx/platform initiative that ...

next page

Showing results 1-20

Ai Rater information

What is an AI Rater job?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What are the key skills and qualifications needed to thrive in the Ai Rater position, and why are they important?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

What does a typical day look like for an AI Rater?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.

What are the most commonly searched types of Ai Rater jobs in Oregon? The most popular types of Ai Rater jobs in Oregon are:
What are popular job titles related to Ai Rater jobs in Oregon? For Ai Rater jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Rater jobs? Cities in Oregon with the most Ai Rater job openings:
Infographic showing various Ai Rater job openings in Oregon as of June 2026, with employment types broken down into 12% Internship, 41% Full Time, 40% Part Time, and 7% Contract. Highlights an 75% In-person, and 25% Remote job distribution.
Software AI Engineer Mid-Level, Context Engineering

Software AI Engineer Mid-Level, Context Engineering

WEX

OR • On-site

$124K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


WEX Inc. rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

7th of 17 rated payment service providers


Job description

As an AI Platform Engineer (SDE 2), you will be a hands-on developer responsible for building and maintaining the core software components that power our AI and context infrastructure. You will work on the "Context Layer"-the plumbing that connects enterprise data to LLMs-ensuring that our AI agents have the right information at the right time. This role is ideal for a strong software engineer who wants to specialize in the operational side of AI, focusing on high-quality code, automated delivery, and cloud-native systems.

Key Responsibilities
  • Feature Development: Implement and maintain core services for the AI Data Lakehouse, focusing on efficient data retrieval and storage optimizations for AI workflows.

  • Pipeline Automation: Build and support CI/CD pipelines to automate the deployment of AI models, prompt templates, and infrastructure updates.

  • Agentic Support: Develop and test tool-execution environments and API interfaces that allow AI agents to interact with internal business systems safely.

  • Operational Excellence: Participate in on-call rotations and troubleshooting to ensure platform reliability. Write unit tests, integration tests, and documentation for new features.

  • Context Retrieval: Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents access secure enterprise data.

  • Cloud Management: Assist in managing cloud resources across AWS and Azure, ensuring environments are cost-effective and secure.

Qualifications & Experience

Software Engineering Foundation

  • Experience: 3+ years of professional software development experience.

  • Core Skills: Strong proficiency in Python and either Java or Scala. You write clean, maintainable, and well-documented code.

  • API Development: Experience building and consuming RESTful APIs or gRPC services.

  • Database Basics: Understanding of relational databases (Postgres/MySQL) and familiarity with how data is stored in a distributed environment.

Cloud & CI/CD Mastery

  • Cloud Consoles: Hands-on experience navigating the AWS or Azure Management Consoles. You should be comfortable managing basic services like IAM, S3/Blob, and compute instances.

  • Infrastructure-as-Code (IaC): Basic experience with Terraform. You can read, modify, and deploy infrastructure modules.

  • CI/CD Tools: Familiarity with GitHub Actions, GitLab CI, or Jenkins. You understand how to automate the build-test-deploy lifecycle.

  • Observability: Basic experience with monitoring tools like Prometheus, Grafana, or cloud-native solutions (CloudWatch/Azure Monitor).

AI & Agentic Interests (Specialized Focus)

  • LLM Awareness: Familiarity with LLM concepts and frameworks like LangChain or LlamaIndex. You've experimented with or built basic RAG-based applications.

  • Emerging Protocols: A desire to learn and implement new standards like the Model Context Protocol (MCP).

  • Agentic Workflows: Interest in how autonomous agents function, including tool-use (function calling) and state management.

  • Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus) and how search impacts AI performance.

Leadership & Education
  • Team Player: Ability to work effectively in an agile environment, participating in sprint planning and daily stand-ups.

  • Continuous Learner: A strong desire to stay current with the rapidly changing AI and cloud landscape.

  • Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $124,700.00 - $148,800.00

What WEX Inc. employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom