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Remote Accelerate Learning Jobs in Chicago, IL (NOW HIRING)

Career growth and learning opportunities through mentoring and internal mobility * Inclusive ... We create intelligent connections to accelerate the development and commercialization of innovative ...

Career growth and learning opportunities through mentoring and internal mobility * Inclusive ... We create intelligent connections to accelerate the development and commercialization of innovative ...

This role is a remote position, reporting to our Niles, IL HQ office. Responsibilities * Lead hands ... Strong aptitude for learning and applying new technologies, with the ability to quickly understand ...

This role is a remote position, reporting to our Niles, IL HQ office. Responsibilities * Lead hands ... Strong aptitude for learning and applying new technologies, with the ability to quickly understand ...

This role is a remote position, reporting to our Niles, IL HQ office. * Lead hands-on pre- and post ... Strong aptitude for learning and applying new technologies, with the ability to quickly understand ...

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Remote Accelerate Learning information

See Chicago, IL salary details

$27

$41

$71

How much do remote accelerate learning jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote accelerate learning in Chicago, IL is $41.92, according to ZipRecruiter salary data. Most workers in this role earn between $30.48 and $54.47 per hour, depending on experience, location, and employer.

What is the difference between Remote Accelerate Learning vs Remote Learning Coordinator?

AspectRemote Accelerate LearningRemote Learning Coordinator
Required CredentialsTypically requires a degree in education, training, or related field; certifications in instructional design or e-learning are commonUsually requires a degree in education, communication, or related field; certifications in curriculum development or online teaching are beneficial
Work EnvironmentPrimarily online, involving content development, training sessions, and learner engagementPrimarily online, coordinating learning programs, managing schedules, and supporting learners
Employer & Industry UsageUsed by educational institutions, corporate training companies, and e-learning platformsUsed by schools, universities, and corporate training departments

Remote Accelerate Learning focuses on developing and delivering educational content and training programs, often involving content creation and instructional design. In contrast, a Remote Learning Coordinator manages the logistics, schedules, and support for online learning programs. Both roles require similar credentials and work in online environments, but their core responsibilities differ in content development versus program coordination.

What are the most commonly searched types of Accelerate Learning jobs in Chicago, IL? The most popular types of Accelerate Learning jobs in Chicago, IL are:
What are popular job titles related to Remote Accelerate Learning jobs in Chicago, IL? For Remote Accelerate Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Accelerate Learning jobs in Chicago, IL look for? The top searched job categories for Remote Accelerate Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Accelerate Learning jobs? Cities near Chicago, IL with the most Remote Accelerate Learning job openings:
Director, Ai Architecture & Platforms - National Office (remote)

Director, Ai Architecture & Platforms - National Office (remote)

YMCA

Chicago, IL • On-site, Remote

$144K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


YMCA rating

6.1

Company rating: 6.1 out of 10

Based on 1,982 frontline employees who took The Breakroom Quiz

506th of 710 rated non-profit organizations


Job description

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Job Description
The Director of AI Architecture & Platforms is responsible for defining, implementing, and governing the organization's enterprise AI architecture and technical strategy. This role provides leadership for the design and delivery of scalable, secure, and compliant AI platforms and solutions that enable responsible adoption of generative AI, machine learning, and advanced analytics across the organization.
Reporting to senior IT leadership, the Director establishes architectural standards and reference designs for AI solutions, with a strong emphasis on cloud-native implementation using Amazon Web Services (AWS) and managed AI services such as Amazon Bedrock. The role ensures consistent, reusable, and secure patterns for integrating leading large language models (LLMs), including Anthropic, OpenAI, and Microsoft Copilot, into enterprise applications and workflows.
The Director partners closely with product, application development, data, security, legal, and business leaders to identify, prioritize, and design high-value AI use cases. This role ensures AI solutions are developed with a strong focus on business outcomes, operational readiness, and lifecycle management-from experimentation and prototyping through production deployment and ongoing optimization.
A critical responsibility of the role is establishing and enforcing AI governance frameworks, including policies, controls, and guardrails related to model selection, data usage, risk management, explainability, monitoring, and regulatory compliance. The Director also leads AI-specific cybersecurity and risk considerations, ensuring protections against data leakage, prompt injection, model misuse, and emerging AI threat vectors.
Through technical leadership, architectural rigor, and cross-functional collaboration, the Director enables the organization to adopt AI responsibly, securely, and at scale, while accelerating innovation and delivering measurable business value.
YMCA of the USA (Y-USA) embraces a remote-first working environment which means most employees work remotely from a home office within the continental United States.
We offer a full benefits package including medical, dental, vision, defined benefit plan (retirement savings), defined contribution plan (403(b) plan, life and disability insurances, technology stipend, and generous paid time off, all in a work from anywhere in the continental U.S. workplace.
Qualifications
A successful candidate will possess a majority of the following professional and personal attributes and competencies:
  • Bachelor's degree or higher required in a relevant field such as Business, or related disciplines required.
  • Advanced degree strongly preferred.
  • 8-12 years of experience required
  • Expert functional skills, advanced industry knowledge and experience, advanced managerial skills
  • Manages multiple teams or functions
  • Strategic and operational decision-making authority
  • Highly complex tasks and managerial tasks
  • Minimal supervision

Essential Functions
  • Define and lead the enterprise AI architecture strategy, ensuring scalable, secure, and compliant adoption of generative AI and advanced analytics across the organization.
  • Design and maintain reference architectures, standards, and patterns for AI solutions, including LLM-enabled applications and platform integrations.
  • Provide architectural leadership for AI platforms built on Amazon Web Services (AWS), including the use of managed services such as Amazon Bedrock.
  • Lead the evaluation, selection, and integration of leading large language models and AI services, including Anthropic, OpenAI, and Microsoft Copilot, ensuring appropriate use and performance.
  • Partner with business, product, and technology leaders to identify, prioritize, and design high-value AI use cases aligned to strategic objectives.
  • Establish and enforce AI governance frameworks, including policies, controls, and guardrails related to data usage, model risk, compliance, and responsible AI practices.
  • Define and oversee AI cybersecurity architecture, addressing risks such as data leakage, prompt injection, model misuse, and emerging AI threat vectors.
  • Provide architectural guidance for the development and integration of AI-enabled applications, ensuring solutions are production-ready, scalable, and maintainable.
  • Enable AI lifecycle management practices, including experimentation, deployment, monitoring, optimization, and retirement of AI solutions.
  • Collaborate with data, application development, security, legal, and compliance teams to ensure AI solutions align with enterprise standards, regulatory requirements, and risk management expectations.

Ymca Careers
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