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Remote Language Learning App Jobs in Chandler, AZ

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The Role This is a learning position. You need the fundamentals coming in: bilingual, organized ... This is not a permanently remote position, and candidates must be willing and able to work on-site ...

Willingness to complete an introductory learning and development phase at satisfactory levels ... The word "Remote" itself can conjure up ideas of loneliness and being disconnected from your ...

Mentor engineers and foster a culture of ownership, accountability, and continuous learning ... Knowledge of Large Language Models (LLMs), Agentic AI, and Model Context Protocol (MCP) and their ...

Data Scientist

Phoenix, AZ ยท On-site +1

... machine learning, natural language processing, predictive modeling, data visualization; and Big ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Software Engineer III (Java)

Tempe, AZ ยท On-site +1

$93K - $147K/yr

Java programming language * Application Programming Interface (API) / RESTful microservices ... Our award-winning training and development programs empower our employees with ongoing learning ...

New

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AI Home Task Associates

Tempe, AZ ยท Remote

$17 - $17.50/hr

You'll use a VR headset and mobile app to complete everyday activities in your home. Your movements ... Remote workers * Technology enthusiasts * Anyone looking for flexible additional income ...

Showing results 41-60

Remote Language Learning App information

See Chandler, AZ salary details

$10.8K

$82.6K

$137.9K

How much do remote language learning app jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote language learning app in Chandler, AZ is $82,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $136,900.00 per year, depending on experience, location, and employer.

What is a remote language learning app?

A remote language learning app is a digital platform or software that allows users to learn new languages from anywhere using an internet-connected device. These apps often include interactive lessons, quizzes, and practice exercises for reading, writing, listening, and speaking. Many remote language learning apps use features like speech recognition, spaced repetition, and gamification to make learning more engaging and effective. They are popular for their flexibility, convenience, and wide range of available languages.

What are the key skills and qualifications needed to thrive as a remote language learning app developer?

To thrive as a Remote Language Learning App Developer, you need strong programming skills (such as in JavaScript, Swift, or Kotlin), experience with mobile app development, and a background in UI/UX design or educational technology. Familiarity with frameworks like React Native or Flutter, cloud services, and agile development methodologies is typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively with distributed teams and understand user needs. These skills ensure the creation of engaging, functional, and accessible apps that effectively support language learners worldwide.

What are some common challenges faced by remote language learning app instructors, and how can they be overcome?

Remote language learning app instructors often face challenges such as maintaining student engagement, adapting teaching methods to a virtual environment, and managing time zone differences with a global student base. To overcome these, instructors frequently use interactive tools, varied multimedia content, and personalized feedback to keep learners motivated. Additionally, clear communication and flexible scheduling help in building rapport and accommodating diverse learners. Collaboration with curriculum designers and tech support teams is essential to continually improve the learning experience.

What is the difference between Remote Language Learning App vs Language Tutor?

AspectRemote Language Learning AppLanguage Tutor
CredentialsTypically no formal credentials required, but certifications can enhance credibilityOften requires teaching certifications or language proficiency credentials
Work EnvironmentOnline platform, flexible hours, self-pacedUsually live sessions, scheduled meetings, can be remote or in-person
Employer & Industry UsageUsed by educational companies, language platforms, and self-employed tutorsEmployed by language schools, private clients, or freelance
Search & Comparison IntentLooking for scalable, automated language learning solutionsSeeking personalized, interactive language instruction

The main difference between a Remote Language Learning App and a Language Tutor lies in their delivery and interaction. Apps provide automated, self-guided learning experiences without live interaction, while language tutors offer personalized, real-time instruction. Both serve different learner needs, with apps being more flexible and scalable, and tutors providing tailored feedback and engagement.

What are popular job titles related to Remote Language Learning App jobs in Chandler, AZ?

For Remote Language Learning App jobs in Chandler, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Language Learning App jobs in Chandler, AZ look for?

The top searched job categories for Remote Language Learning App jobs in Chandler, AZ are:

What cities near Chandler, AZ are hiring for Remote Language Learning App jobs?

Cities near Chandler, AZ with the most Remote Language Learning App job openings:

Infographic showing various Remote Language Learning App job openings in Chandler, AZ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,619 per year, or $39.7 per hour.

Senior React / Next.js Engineer (Contract to Hire) - Remote Hybrid - Arizona or SO. California Resid

e360

Phoenix, AZ โ€ข On-site, Remote

$90 - $100/hr

Contractor

Posted 28 days ago


Job description

Rate: $90 - $100/ Hour - Depending on Experience
Note: MUST be a US Citizen or Green Card Holder
***NO RECRUITING AGENCIES***
***NO C2C***
***NO Sponsorship available***
About e360's App Engineering
e360 is a 30+ year privately-owned company with a focus on our people, our clients and leading technologies. e360's Cloud Services Division is a rapidly growing business helping clients manage their Cloud technology. Our team is comprised of leaders that focus on delivering innovative consulting solutions that leverage leading and emerging technologies.
We are a dynamic and entrepreneurial consulting company that offers ample opportunities for professional development and growth suited to each individual's personal and professional goals. We offer internal, and subsidize external, trainings, and reimburse the cost of technology certification exams and / or renewals. Our family-founded business sees work life fit as a core value that all of our practitioners practice - the value you add to your team is more important than the time that you 'clock in and out.' You will have numerous opportunities to interface with senior leadership, and benefit from mentorship internally or through introductions through external networks to support your growth.
Description
The Senior React / Next.js Engineer is a hands-on consultant responsible for designing and delivering scalable enterprise web applications.
This role requires advanced experience with React, Next.js, TypeScript, API integration, and modular application architecture. The engineer will also support Intelligent Document Processing solutions and should understand how Python, AI, and Large Language Models can be used in document workflows.
What You'll Do
Design, build, test, and deploy enterprise applications using React, Next.js, and TypeScript.
Create modular, reusable, and maintainable application architectures.
Build shared components, hooks, services, utilities, and design-system patterns.
Design scalable approaches for routing, state management, data fetching, forms, validation, and error handling.
Integrate applications with APIs, authentication systems, enterprise data sources, and document-processing services.
Build document upload, review, correction, approval, and exception-management experiences.
Use Python to support document ingestion, extraction, validation, transformation, and integration.
Apply AI and LLM capabilities to document classification, extraction, summarization, and validation where appropriate.
Improve existing codebases by reducing duplication, tight coupling, inconsistent patterns, and technical debt.
Implement automated testing, CI/CD, logging, monitoring, security, and performance practices.
Own technical workstreams and provide design reviews, code reviews, and mentoring.
Participate in client discovery, requirements analysis, demonstrations, deployment, and knowledge transfer.
Requirements
Advanced experience with React, Next.js, TypeScript, and modern JavaScript.
Strong understanding of React composition, hooks, rendering, and component design.
Experience with Next.js App Router, server and client components, route handlers, middleware, and server-side rendering.
Demonstrated ability to design modular enterprise applications with clear separation of concerns.
Experience building reusable component libraries and working with design systems.
Experience integrating REST APIs, backend services, and third-party platforms.
Experience with state-management and data-fetching tools such as Redux Toolkit, Zustand, TanStack Query, or similar technologies.
Experience building complex forms, validation workflows, and data-review interfaces.
Experience with authentication and authorization using OAuth, OpenID Connect, JWTs, sessions, or role-based access.
Working experience with Python for APIs, automation, data processing, or document workflows.
Experience with Git, automated testing, CI/CD, and production deployment.
Ability to evaluate tradeoffs involving maintainability, performance, scalability, security, and delivery speed. Intelligent Document Processing and AI Bachelor's degree from an accredited college or university
Candidates should have practical experience with or an understanding of:
OCR, document classification, field and table extraction
Structured and unstructured document processing
Confidence scoring, validation rules, and human review
Document status tracking, exception handling, and audit history
Python-based document ingestion, preprocessing, parsing, and transformation
Calling document intelligence, OCR, and AI services from Python
Large Language Models and their use in document extraction, classification, summarization, and validation
Prompt design, structured model outputs, and hallucination risks
The differences between OCR, trained document models, and LLM-based extraction
Data privacy, accuracy, latency, cost, and human-in-the-loop considerations
Deep AI or data-science experience is not required.
Preferred Qualifications
Experience leading enterprise React or Next.js projects.
Experience modernizing or refactoring large frontend codebases.
Experience with document-management, case-management, or workflow applications.
Experience with Azure AI Document Intelligence, Amazon Textract, or comparable services.
Experience with Azure OpenAI, Amazon Bedrock, or other hosted LLM services.
Experience with FastAPI, Flask, Node.js, or backend API development.
Experience with AWS or Azure application hosting and integration services.
Cloud experience is helpful but is not the primary focus of the role.
Professional Skills
Strong application-design and problem-solving skills.
Ability to translate business requirements into practical software designs.
Strong consulting, communication, documentation, and code-review skills.
Ability to independently own technical workstreams.
Ability to identify architectural risks, technical debt, and delivery blockers.
Ability to mentor developers and establish consistent engineering practices.
Critical Success Factors
Ability to independently deliver production-ready React and Next.js applications.
Strong understanding of modular enterprise application architecture.
Ability to create reusable patterns without unnecessary complexity.
Ability to integrate Intelligent Document Processing into enterprise applications.
Practical understanding of Python, AI, and LLM-supported document workflows.
Commitment to code quality, testing, accessibility, security, performance, and maintainability.