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Remote Ai Tasker Jobs in Oregon (NOW HIRING)

AI Engineer

OR ยท Remote

US (Remote) Role Overview: Quantiphi is seeking an experienced AI Engineer to help build a next ... Design and implement agentic workflows, including task decomposition, agent orchestration, tool ...

US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven ... Design and build unified interfaces where AI agents manage complex tasks like environment ...

... automation tasks. Governance & Documentation * Apply data governance practices for lineage ... Remote

Senior AI Automation Engineer

OR ยท Remote

$103K - $136K/yr

... automation tasks. Governance & Documentation * Apply data governance practices for lineage ... Remote

... tasks. * Strong background in lead roles, such as Lead Developer or Technical Lead, within ... Dependent on location, we offer remote, in-office, or hybrid working modes; flexible hours; work ...

Senior Product Designer, AI Builders

OR ยท On-site +1

$150K - $205K/yr

... tasks, or AI workflows that augment human agents and make them feel superhuman. As a Product ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Senior Manager, AI Innovation

Salem, OR ยท On-site +1

$268K - $364K/yr

... tasks while enabling workers to focus on higher-value work. With industry-leading safety standards ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Revenue Operations Lead - 100% Remote

OR ยท On-site +1

$140K - $170K/yr

AI Agent Development - Design, build, and deploy AI agents and assistants (using Claude, Claude ... tasks. * Outbound Engine - Build and continuously optimize TextExpander's outbound motion end-to ...

Sr. Software Engineer (AI & Backend)

OR ยท On-site +1

$122K - $161K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... and task execution within Mobility platforms. * Develop AI agents from scratch, including ...

Senior IT AI Automation Engineer

OR ยท Remote

$103K - $136K/yr

Chicago / Remote (US-based) Department: IT Operations & Engineering Company: Covetrus About Us ... This role goes well beyond scripting and task automation. You will bridge real operational IT needs ...

For the right candidate we may consider remote. Experienced full stack software engineer who has a ... task-specific data and empirical evaluation. * Strong experience building and operating CI/CD ...

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Showing results 1-20

Remote Ai Tasker information

What job makes $10,000 a month without a degree?

A Remote AI Tasker can potentially earn $10,000 a month by completing AI training tasks, data labeling, or content moderation remotely. Success depends on experience, efficiency, and the volume of tasks completed, often requiring strong organizational skills and familiarity with AI tools. Such roles typically do not require formal degrees but may need self-motivation and basic technical understanding.

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

To thrive as a Remote AI Tasker, you need strong analytical skills, attention to detail, and the ability to follow complex instructions, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, AI training tools, and workflow management systems is often required. Excellent communication, time management, and self-motivation are standout soft skills for remote collaboration and consistent productivity. These skills ensure high-quality data labeling and efficient support of AI development projects in a distributed work environment.

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

AspectRemote Ai TaskerData Annotator
CredentialsBasic computer skills, training in AI toolsBasic computer skills, sometimes specialized in annotation tools
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible hours
Industry UsageAI development, machine learning projectsMachine learning, AI training datasets
Job FocusPerforming specific AI-related tasks like data labeling or testingLabeling, tagging, and annotating data for AI models

Remote Ai Taskers and Data Annotators both work remotely in AI-related fields, often performing data labeling and testing tasks. However, Remote Ai Taskers may handle a broader range of AI-specific tasks, while Data Annotators primarily focus on data labeling and annotation. Both roles require similar skills and are essential for training AI models, making them closely related in the AI industry.

What are some common challenges faced by Remote AI Taskers, and how can they be managed effectively?

Remote AI Taskers often face challenges such as managing tight deadlines, handling repetitive tasks, and maintaining clear communication with team leads despite working virtually. Staying organized with scheduling tools, actively participating in regular check-ins, and seeking clarification on task requirements can help mitigate these challenges. Additionally, setting a consistent work routine and leveraging productivity techniques can improve focus and efficiency, making the remote work environment more manageable.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or AI solutions architect, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in tech companies, finance, or healthcare sectors. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.

How can I make 2000 a week working from home?

A Remote AI Tasker can increase earnings by completing high-volume, well-paid micro-tasks, leveraging skills in data annotation, labeling, or AI training. Consistently working full-time hours, improving efficiency, and gaining specialized knowledge or certifications can help reach a weekly income of $2000, but earnings vary based on task availability and pay rates.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information. Legitimate roles typically involve clear instructions, reasonable pay, and a formal application process.

What are Remote AI Taskers?

Remote AI Taskers are individuals who perform various tasks to help train, test, and improve artificial intelligence systems from a remote location. Their work may include data labeling, categorizing images or text, transcribing audio, or providing feedback on AI outputs. These tasks are essential for ensuring that AI models learn accurately and perform as expected. Remote AI Taskers typically work on a freelance or contract basis, often for technology companies or crowdsourcing platforms.
What are the most commonly searched types of Ai Tasker jobs in Oregon? The most popular types of Ai Tasker jobs in Oregon are:
AI Engineer

Other

Posted 20 days ago


Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We've been recognized with:

  • 21x Google Cloud Partner of the Year awards in the last 8 years.

  • 3x AWS AI/ML award wins.

  • 3x NVIDIA Partner of the Year titles.

  • 2x Snowflake Partner of the Year awards.

  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role: AI Engineer (MLE Architect - Agentic Workflows & Enterprise Integration)

Experience Level: 5 plus

Work Location: US (Remote)

Role Overview:

Quantiphi is seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions. This role focuses on translating inputs from customer requirements and internal product teams into robust, multi-agent workflows that drive efficiency, innovation, and business impact.

You will operate in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents while owning end-to-end system design, enterprise integration, security, and scalability. Working across the full stack, Python back-end services, React front-end applications, and cloud-native (AWS) environments, you will deliver production-grade platforms that integrate seamlessly within complex enterprise ecosystems.

Key Responsibilities:

  • Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns

  • Translate inputs from internal product teams into scalable, AI-powered workflows and services

  • Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation

  • Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems

  • Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability

  • Design and operate event-driven architectures using AWS native services and messaging middleware

  • Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations

  • Develop React-based front-end applications supporting complex, AI assisted user workflows

  • Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems

  • Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance

  • Support customer deployments, including occasional on-site builds and integrations

  • Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness

Basic Qualifications:

  • Agentic Workflows & AI Systems

  • Expert-level understanding of agentic workflow patterns, Multi-agent orchestration

    • Tool-based reasoning and execution

    • Human-in-the-loop controls

    • Workflow state, memory, and evaluation

  • Strong proficiency in Python, with hands-on experience building AI agents and workflow systems

  • Expert-level experience with LangGraph or equivalent agent orchestration frameworks

  • Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments

  • Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration

  • Enterprise Integration & Architecture

  • Expert-level understanding of enterprise integration patterns, including:

    • Event-driven and asynchronous integration

    • API-based and message-based communication

    • Workflow orchestration and choreography

    • Integration with shared enterprise services

  • Strong understanding of web architecture, distributed systems, and cloud native design

  • Proven experience designing and operating multi-tenant platforms

  • Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement

  • Front End, Cloud & Delivery

  • Advanced experience building React web applications

  • Expert-level understanding of AWS, including:

    • DynamoDB

    • EventBridge

    • Messaging systems (e.g., RabbitMQ)

    • Middleware and integration services

    • VPC networking, IAM, and security boundaries

  • Strong experience with CI/CD pipelines and automated deployments

  • Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight

  • Occasional travel for customer or on-site builds may be required

Other Qualifications (OQs):

  • Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms

  • Familiarity with FHIR and HL7 standards

  • Experience building customer-facing enterprise platforms

  • Background in platform engineering or internal developer platforms (IDPs)

What's in it for YOU at Quantiphi:

  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.

  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

  • Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!