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Remote JavaScript/Chrome extensions developer jobs

We, at Turing, are looking for talented remote JavaScript/Chrome extensions developers who will be responsible for designing architecture and code in JavaScript to develop Google Chrome extensions. Here's the best chance to collaborate with top industry leaders while working with the leading U.S. companies.

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Job description

Job responsibilities

  • Architect, develop, deploy and update Google Chrome Extensions
  • Develop installation files and deployment of Google Chrome Extension to large enterprise user base
  • Create well-formed, well-commented JavaScript code with an advanced understanding of a browser work scheme
  • Learn, understand and predict user interactions
  • Develop a flexible and well-structured front-end architecture, along with the APIs to support it

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of experience in Google Chrome Extension & Plug-in development (rare exceptions for highly skilled developers)
  • Excellent grasp on HTML, SCSS, and JavaScript
  • Experience with UI, cross-browser compatibility, general web functions, and standards
  • Expert understanding of Google Chrome APIs
  • Strong understanding of Chrome Web Store and internal enterprise apps
  • Understanding of JavaScript tech stack, including jQuery and jQuery UI, Ajax, HTML, HTML5, CSS3, Web User Interface Design (UI), etc.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of popular data workflows including Flux, Redux
  • Experience using Git or Bitbucket
  • Knowledge of code and architectural decision documentation
  • Web developer certifications would be preferred
  • Comfortable with SCRUM and Agile methodologies
  • Excellent organizational and communication skills
  • Great technical, analytical, and problem-solving skills

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How to become a remote JavaScript/Chrome extensions developer ?

The principle of Java is "write once, run anywhere." Compilation of Java code allows it to be used and executed on any platform that supports Java. It's also simple to use, free, and works with a number of operating systems. It's crucial for companies.

Chrome extensions allow you to extend the functionality of the Chrome web browser without having to dive into native coding. This allows you to design new Chrome extensions using HTML, CSS, and JavaScript, all of which web professionals are familiar with. You'll be able to build an extension faster than you can eat lunch if you've ever created a web page. The only thing you'll need to learn is how to use some of Chrome's JavaScript APIs to increase its capabilities.

Because of the popularity and advantages of JavaScript/Chrome extensions, the need for JavaScript/Chrome extensions expertise has risen dramatically. So, remote JavaScript/Chrome extensions developer jobs are an excellent choice for programmers.

Let us go deeper into more details to know before you apply for JavaScript/Chrome extensions developer jobs.

What is the scope in JavaScript/Chrome extensions development?

Millions of browser extensions for Google Chrome and other major browsers bring extra functionality and give you a competitive edge. While major browser makers like Google Chrome, Mozilla Firefox, Microsoft Edge, and Opera offer hundreds of browser extensions, third-party software development service providers may be able to design browser extensions that are more tailored to your needs.

Likewise, there is no doubt that Javascript is very popular among developers. Its advantages are an easy learning curve and simple to write, build, debug, and learn. The surprising fact is that it has been 22 years, and the popularity of JavaScript has not gone down.

So, if you are interested in growing a career as a JavaScript/Chrome extensions engineer, read on. Let's take a closer look at how to land JavaScript/Chrome extensions developer jobs.

What are the roles and responsibilities of a JavaScript/Chrome extensions developer?

After landing remote JavaScript/Chrome extensions developer jobs, the following are some of the most important responsibilities.

  • Design, build and deploy Google Chrome Extensions
  • Develop Google Chrome Extension installation files and roll out to a broad company user base.
  • With a thorough understanding of how browsers work, write well-formed, well-commented JavaScript code.
  • Learn, comprehend, and anticipate user interactions.
  • Develop a front-end architecture that is adaptable and well-structured and the APIs that will support it.

How to become a JavaScript/Chrome extensions developer?

Although remote JavaScript/Chrome extensions developer jobs necessitate a high degree of competence and expertise, anyone with a genuine interest in the field—and the ability to fulfill at least some of the responsibilities described above for a JavaScript/Chrome extensions engineer—is qualified to apply.

There are a few different ways to learn the skills required to find JavaScript/Chrome extensions developer jobs. A computer science degree will provide you with a strong foundation and credentials when it comes to entering the field. However, if you didn't do well in high school, you may be unable to enroll in a college to find remote JavaScript/Chrome extensions developer jobs.

Another way to become a successful JavaScript/Chrome extensions engineer is to enroll in a short-term boot camp program. The emphasis will be on teaching you the languages you'll need to apply in person or online for remote JavaScript/Chrome extensions developer jobs.

You may be confident that no matter which path you choose to become a JavaScript/Chrome extensions engineer, you will have a bright career and plenty of opportunities in JavaScript/Chrome extensions engineer jobs ahead of you.

Interested in remote JavaScript/Chrome extensions engineer jobs?

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Skills required to become a JavaScript/Chrome extensions engineer

Learning the right skills is the first step toward securing high-paying JavaScript/Chrome extensions engineer jobs. Let's look at each technical skill necessary for JavaScript/Chrome extensions developer jobs in more detail.

1. Java programming skills

Java programmers create a wide range of software, including web applications, desktop applications, mobile apps, and cloud services. To land remote JavaScript/Chrome extensions developer jobs, you need to start learning Java and master it in depth.

2. Redux

Redux is a popular React state management framework. It is, nevertheless, difficult to understand and comprehend. Learning about the Context API, on the other hand, may make things easier. After you've mastered this, you can move on to Redux. Therefore, in JavaScript/Chrome extensions developer jobs, knowing Redux is essential.

3. Spring framework 5

In 2020, the Spring framework was used to create Java apps on over 2000 websites. When classes rely on other classes and interfaces from this framework, Spring employs explanatory comments to avoid tight coupling. The MVC framework, which has layers for business, operations, and representation, underpins Spring. The Spring framework is popular among developers because it is simple to use, has appealing syntax, allows object injection, and provides automated testing tools like JUnit 5.

4. Unit testing

Unit testing is another important skill to demonstrate to recruiters during the interviews for remote JavaScript/Chrome extensions developer jobs. The amount of time it takes to support and build automated tests, such as integration and unit tests that are required to launch an application, grows in direct proportion to the size of the Java program. Every Java program requires time to implement and assemble. Unit testing tools like TestNg and JUnit come in handy in this situation. These frameworks make it easy to write automated tests, provide immediate feedback on passed tests, and have simple syntax. JUnit promotes a "testing first" approach, which increases programmer productivity while improving codebase stability. This reduces the coder's work and debugging time.

5. AJAX

It is a set of technologies for developing web applications. When these technologies are coupled, websites appear more responsive because small packets of data are transmitted with the server, and web pages are not refreshed each time a user changes an input. AJAX allows a user of a web application to interact with a page without having to reload it. Only page elements reload and refresh during website interaction. Learn AJAX before you apply for remote JavaScript/Chrome extensions developer jobs.

6. jQuery UI

The jQuery UI is a powerful JavaScript library built on the jQuery JavaScript framework. The abbreviation UI stands for User Interface. It's a collection of jQuery plugins that extend the core framework's functionality. Interface interactions, effects, animations, widgets, and themes are among the jQuery UI plugins built on top of the jQuery JavaScript Library. John Resig rolled it out in a blog post on jquery.com in September 2007. jQuery 1.6 or later is required in the most recent version, 1.10.4. jQuery UI, which is free and open-source software, is covered by the MIT License. To land remote JavaScript/Chrome extensions developer jobs, you'll need to be familiar with jQuery UI.

7. Node.js

Based on Chrome's JavaScript engine, Node.js is a framework for quickly building fast and scalable network applications. The event-driven, non-blocking I/O design of Node.js makes it lightweight and efficient, making it perfect for data-intensive real-time applications that run across multiple devices. Node.js is an open-source runtime environment for building server-side and networking applications that is cross-platform. Node.js programs are written in JavaScript and run on the Node.js runtime on OS X, Microsoft Windows, and Linux. Node.js also contains a big library of JavaScript modules, which makes developing web applications using Node.js much easier. You should have a basic understanding of Node.js to get hired for remote JavaScript/Chrome extensions developer jobs.

8. JavaScript

JavaScript is an interpretable object-oriented programming language. JavaScript was previously known as Live Script, but due to the hype generated by Java, Netscape changed its name to JavaScript. Live Script was the name given to JavaScript when it first appeared in Netscape 2.0 in 1995. Netscape, Internet Explorer, and other web browsers have integrated the language's general-purpose core. If you want to get remote JavaScript/Chrome extensions developer jobs, you can't afford to neglect JavaScript.

Interested in remote JavaScript/Chrome extensions engineer jobs?

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How to get remote JavaScript/Chrome extensions developer jobs?

We've seen the skills required for JavaScript/Chrome extension engineer jobs. The most important thing to remember when training is to practice JavaScript and other required skills as much as possible. Every day, new technological breakthroughs impact JavaScript/Chrome extensions development. As JavaScript/Chrome extensions become more popular, more people will enter the field, increasing your competition. That won't stop you from achieving success in your JavaScript/Chrome extensions development career if you strive to be the best version of yourself and stay current with the latest trends.

Turing provides the best remote JavaScript/Chrome extensions developer jobs that help you meet your JavaScript/Chrome extensions engineer goals. You'll also have the chance to refine your skills by working on complex technical problems with other brilliant engineers. Join a global network of the best JavaScript/Chrome extensions professionals to find full-time, long-term remote JavaScript/Chrome extensions developer jobs that pay more and allow you to progress professionally.

Why become a JavaScript/Chrome extensions engineer at Turing?

Elite US jobs
Career growth
Exclusive engineer community
Once you join Turing, you'll never have to apply for other JavaScript/Chrome extensions engineer jobs.
Work from the comfort of your home
Great compensation

How much does Turing pay their JavaScript/Chrome extensions engineer?

At Turing, every JavaScript/Chrome extensions engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity to grow your JavaScript/Chrome extensions engineer career. Our recommendations are based on our analysis of existing market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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