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Ai Review Jobs in Remote, OR (NOW HIRING)

Design and implement AI-enabled developer workflows for code generation, reviews, debugging, testing, documentation, research, incident triage, and platform navigation. Establish scalable, secure ...

Drive quality and compliance Use AI-assisted validation to track dependencies, review requirements, and identify risks. * Manage governance checkpoints and internal approvals with precision. Ensure ...

Drive quality and compliance Use AI-assisted validation to track dependencies, review requirements, and identify risks. * Manage governance checkpoints and internal approvals with precision. Ensure ...

Drive quality and compliance Use AI-assisted validation to track dependencies, review requirements, and identify risks. * Manage governance checkpoints and internal approvals with precision. Ensure ...

Drive quality and compliance Use AI-assisted validation to track dependencies, review requirements, and identify risks. * Manage governance checkpoints and internal approvals with precision. Ensure ...

Cardiology Physician

Coos Bay, OR · On-site

$334K - $378K/yr

Inpatient and outpatient Äî 127-bed Level III Trauma Center Schedule: Monday ÄìFriday, 8:00a ... monitor review, cardioversion, and TEE Collaboration with other medical specialties to meet ...

Experience evaluating AI solutions through prompt testing, regression testing, human review, telemetry, and quality measurement. Experience creating self-service developer platforms, enablement ...

Cloud Architect

OR · Remote

$66.50 - $84.75/hr

Evaluate cloud AI/ML platform capabilities (SageMaker, Vertex AI, Bedrock) and define how NaaS architecture supports AI workload hosting * Provide architecture reviews and guidance across engineering ...

DevOps Developer

OR · On-site +1

Validate AI-generated code, scripts, configurations, and recommendations through proper engineering review and testing. * Help define safe usage patterns and guardrails for AI-assisted DevOps work.

Validate AI-generated code, scripts, configurations, and recommendations through proper engineering review and testing. * Help define safe usage patterns and guardrails for AI-assisted DevOps work.

Apply AI-augmented engineering practices: LLM-assisted design, agentic workflow architecture ... To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

... AI-driven insights to enhance intelligence and operational planning. * The contractor shall ... The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ...

... AI-driven insights to enhance intelligence and operational planning. * The contractor shall ... The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ...

The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

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Ai Review information

What is an AI reviewer?

An AI Reviewer is a professional who evaluates, tests, and assesses artificial intelligence systems, models, or tools. Their role often involves reviewing the performance, accuracy, fairness, and ethical implications of AI solutions in various contexts. AI Reviewers may work in research, compliance, product development, or quality assurance to ensure that AI technologies are reliable, unbiased, and meet industry standards. They collaborate with data scientists, engineers, and stakeholders to provide feedback and recommendations for improvement. This role is crucial for maintaining trust and safety in AI applications.

What are the key skills and qualifications needed to thrive as an AI reviewer, and why are they important?

To thrive as an AI Reviewer, you need a strong background in data analysis, machine learning concepts, and quality assurance, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, SQL databases, and annotation platforms, as well as relevant certifications like AI ethics or data science, is typically required. Critical thinking, attention to detail, and clear communication are crucial soft skills for evaluating AI outputs and collaborating with development teams. These competencies ensure that AI systems are accurate, ethical, and reliable for real-world applications.

What are some common challenges faced by professionals in AI review roles, and how can they be addressed?

Professionals in AI review roles often encounter challenges such as staying updated with rapidly evolving AI technologies, ensuring the accuracy and fairness of AI outputs, and managing large volumes of data for review. These challenges can be addressed by participating in ongoing training, collaborating closely with data scientists and engineers, and utilizing robust documentation and quality assurance processes. Regular communication with cross-functional teams also helps in quickly identifying and resolving issues, ensuring that AI systems remain reliable and compliant with organizational standards.

What is the difference between Ai Review vs Content Moderator?

AspectAi ReviewContent Moderator
Required CredentialsBasic understanding of AI tools, data analysisModeration skills, understanding of community guidelines
Work EnvironmentTypically office or remote, working with AI systems and dataOnline platforms, social media, or community sites
Employer & Industry UsageTech companies, AI service providersSocial media platforms, online marketplaces
Search & Comparison IntentUnderstanding AI review processes, roles involving AIMonitoring and managing user-generated content

Ai Review roles focus on evaluating AI-generated content and ensuring AI systems function correctly, often requiring familiarity with AI tools. Content Moderators handle user content to enforce community standards, requiring moderation skills. While both roles involve content assessment, Ai Review emphasizes AI system evaluation, whereas Content Moderators focus on user interactions.

How do I become an AI reviewer?

To become an AI reviewer, you typically need a background in computer science, data analysis, or related fields, along with strong critical thinking and language skills. Experience with machine learning tools, data annotation, or content moderation can be beneficial, and familiarity with AI models and ethical considerations is often required. Some roles may require certification or training in AI or data labeling platforms.

What are popular job titles related to Ai Review jobs in Remote, OR?

For Ai Review jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Ai Review jobs in Remote, OR look for?

The top searched job categories for Ai Review jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ai Review jobs?

Cities near Remote, OR with the most Ai Review job openings:

Infographic showing various Ai Review job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

Senior Lead Software Developer

Lumen Technologies

OR • Remote

Full-time

Re-posted 3 hours ago


Lumen Technologies rating

8.6

Company rating: 8.6 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

12th of 99 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role
This is a high-accountability environment where bold ideas drive real innovation for customers, partners, and the industry. . The successful candidate will take ownership, deliver meaningful impact, and help shape the future of AI-ready connectivity.
 
Lumen is seeking an experienced and hands-on Senior Lead Software Developer, AI Developer Enablement to help shape the next chapter of AI-assisted software engineering across the organization. This role will define, build, and scale reusable AI capabilities that accelerate developer productivity, reduce friction in everyday engineering work, and transform practical AI workflows into high-impact accelerators for teams across the enterprise.
 
The ideal candidate will bring deep expertise in modern software development, AI-assisted engineering workflows, developer tooling, automation, APIs, cloud platforms, and enterprise engineering practices. This individual will work closely with engineering, platform, DevSecOps, security, product, and AI teams to translate developer pain points into secure, scalable tools, skills, agents, and patterns that teams are eager to adopt.
 
As the Senior Lead Software Developer, AI Developer Enablement, the candidate will play a visible role in helping engineers write, test, review, troubleshoot, document, and deliver software with greater speed and confidence. This is a builder role for an individual who enjoys progressing from bold ideas and working prototypes to production-ready enablement capabilities that make AI useful in the daily flow of software delivery.
 
The ideal candidate should possess a strong understanding of generative AI principles, agentic AI workflows, prompt design, code generation, knowledge retrieval, software delivery practices, responsible AI, and secure enterprise adoption patterns. This role will help make AI enablement practical, measurable, and transformational for developers across Lumen.
Location

This is a work from home position within the US. 

The Main Responsibilities
AI-Assisted Development Enablement
  • Design and implement AI-enabled developer workflows for code generation, reviews, debugging, testing, documentation, research, incident triage, and platform navigation. Establish scalable, secure, and repeatable patterns for AI adoption across engineering teams.
  • Develop reusable prompts, agents, integrations, and workflow accelerators that improve developer productivity while aligning with architecture, security, governance, and operational standards.
Developer Productivity & Experience
  • Identify development friction and translate it into high-impact AI solutions. Partner with engineering teams to reduce toil, accelerate delivery, improve onboarding, and enhance the developer experience from ideation through production.
  • Define adoption metrics, feedback loops, and success measures to demonstrate improvements in quality, delivery speed, developer confidence, and overall performance.
Reusable AI Capabilities & Patterns
  • Build and scale shared AI capabilities, reference architectures, prompt libraries, templates, and playbooks that teams can adopt quickly and consistently.
  • Partner with platform, architecture, and security teams to ensure AI solutions are maintainable, discoverable, observable, governed, and aligned with responsible AI practices.
Technical Knowledge & AI-Driven Support
  • Improve access to engineering knowledge through AI-powered search, summarization, technical Q&A, documentation generation, and context-aware support.
  • Transform tribal knowledge, coding standards, platform guidance, and operational playbooks into scalable AI-assisted experiences.
AI Adoption & Community Enablement
  • Drive AI adoption through demos, training, office hours, onboarding resources, reusable examples, and engineering community engagement.
  • Coach developers and technical leaders on practical AI usage, safe experimentation, measurable outcomes, and responsible engineering practices.
Technical Delivery & Project Execution
  • Lead AI enablement initiatives from discovery through production. Define plans, milestones, dependencies, user validation, and production readiness.
  • Identify and mitigate risks related to security, data access, hallucinations, quality, compliance, integrations, user experience, and operational support.
Measurement & Continuous Improvement
  • Measure AI impact through adoption, usage, cycle time reduction, automation, developer satisfaction, and quality improvements.
  • Use data and feedback to refine AI enablement strategies, retire low-value initiatives, and scale high-impact capabilities.
Leadership & Technical Influence
  • Provide technical leadership and mentorship for AI developer enablement. Foster innovation, accountability, collaboration, experimentation, and continuous improvement.
  • Guide teams on architecture, prompt engineering, agent workflows, integration patterns, responsible AI, and safe implementation of AI-powered developer solutions.
What We Look For in a Candidate
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Advanced degree or equivalent practical experience preferred.
  • 10+ years of experience in software development, platform engineering, developer productivity, AI enablement, automation, or related technical disciplines.
  • Strong hands-on experience designing, building, and supporting modern software solutions, developer tools, APIs, integrations, automation frameworks, or internal platforms.
  • Experience with AI-assisted development workflows, coding assistants, generative AI capabilities, prompt engineering, agentic workflows, or applied AI solutions for engineering teams.
  • Deep understanding of the software development lifecycle, code quality, testing, documentation, secure coding, CI/CD, operational reliability, and production support practices.
  • Proven ability to translate ambiguous developer needs into practical, secure, scalable, and reusable technical solutions.
  • Experience partnering with cross-functional teams including engineering, platform, security, product, architecture, operations, and business stakeholders
  • Strong communication skills with the ability to explain technical concepts, demonstrate AI-enabled workflows, influence adoption, and create clear enablement materials.
  • Strong understanding of responsible AI, data protection, security considerations, governance, and risk management for enterprise AI adoption.
  • Demonstrated ability to mentor engineers, lead technical initiatives, and drive measurable improvements in developer productivity and engineering outcomes.

Preferred Skills

  • Experience with LLM-based developer tools, AI coding assistants, agent frameworks, retrieval-augmented generation, vector search, tool calling, or workflow orchestration. 

Requisition #: 342834

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


What Lumen Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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