Turing

Remote Chrome extensions developer jobs with top U.S. companies

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

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Develop and update Google Chrome Extensions
  • Create installation files and deployment of Google Chrome Extension to large Enterprise user base
  • Write well-formed, well-commented code with advanced understanding of a browser work scheme

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of experience in Google Chrome Extension development (rare exceptions for highly skilled developers)
  • Strong understanding of UI, cross-browser compatibility, general web functions and standards
  • Expert understanding of Google Chrome APIs
  • Experience with Chrome Web Store and understanding of internal enterprise apps
  • Experience in deploying Google Chrome Extensions
  • Understanding of JS tech stack, including jQuery and jQuery UI, Ajax, HTML, HTML5, CSS, 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

  • 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 Chrome Extension Developer?

Chrome extensions enable you to extend the capabilities of the Chrome web browser without having to go deeply into native code. That's fantastic because it allows you to create new Chrome extensions using basic technologies that web professionals are quite familiar with - HTML, CSS, and JavaScript. If you've ever created a web page, you'll be able to make an extension faster than you can eat lunch. The only thing you need to learn is how to extend Chrome's capabilities using some of the JavaScript APIs that Chrome exposes.
Google Chrome extensions are programmes that may be installed in Chrome to modify the browser's behavior. This involves introducing new features to Chrome or changing the program's existing behavior to make it more user-friendly. The following are some examples of the kind of functionality that a Google Chrome extension can bring to Chrome:

  • Preventing advertisements from being displayed
  • Improving Chrome's memory use so that it performs more efficiently
  • Creating to-do lists or taking notes with Chrome
  • Management of passwords
  • Making it easier to copy text from a website
  • Secure your web browsing while protecting your privacy.

What is the scope in Chrome Extension Development?

With custom Chrome extension creation gaining popularity in the tech industry, it will only be a matter of time before you have millions of Chrome extensions tailored to execute specific tasks or groups of tasks for you and your organization.
Millions of browser extensions for Google Chrome and other major browsers provide additional functionality and a specific operational advantage. While prominent browser vendors such as Google Chrome, Mozilla Firefox, Microsoft Edge, and Opera build hundreds of browser extensions, third-party software development service providers may create browser extensions suited to your needs.

What are the roles and responsibilities of a Chrome Extension Developer?

The basic responsibility in a Chrome Extension developer job is to design, code and deploy Google Chrome Extensions. Other primary responsibilities in a Chrome Extension developer job are as follows –

  • Deep expertise and hands-on experience developing Google Chrome Extensions and Plug-ins.
  • The ideal candidate will have a solid grasp of user interfaces, cross-browser interoperability, general web functionalities, and web standards.
  • Should be able to display existent Google Chrome Extensions that have been created.
  • Must have prior expertise deploying Google Chrome Extensions to a big user base.
  • Excellent knowledge of Google Chrome Extension Development, JavaScript, Ajax, jQuery UI, HTML, CSS, and cross-browser compatibility.
  • Extensive knowledge of creating installation files and deploying Google Chrome.
  • Extensions to a broad user base.
  • Experience with the Chrome Web Store and knowledge of other Apps Web developer certifications would be advantageous.
  • Develop and maintain in-depth product knowledge.
  • Guide the customers through the project's various stages and transfer to the support organization.
  • Examine current company processes and take part in the Process Improvement Program.

How to become a Chrome Extension Developer?

Let's get started on the path required to seek a career in Chrome Extension development. To begin, keep in mind that no formal education is necessary to work in a Chrome Extension developer job. Whether you're a graduate or a non-graduate, brilliant or inexperienced, you can learn Chrome Extension development and make a career out of it. All that is necessary is hands-on experience and knowledge of appropriate technical and non-technical skills.
You may have heard that in order to get a remote Chrome Extension developer job, you must have a bachelor's or master's degree in computer science or a related field. This is correct for a variety of reasons. To begin, having a suitable academic background helps you to have a better understanding of computer programming and web development, which will substantially assist you in mastering Chrome Extension creation. Second, many companies need Chrome Extension developers to have a specific level of education, making it easier to find fulfilling career opportunities.
Let's take a look at the skills and techniques needed to land a professional Chrome Extension developer job:

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Skills required to become a Chrome Extension Developer

The first step is to start learning the fundamental skills that will enable you to acquire a high-paying Chrome Extension developer job. Let's go through everything you should know!

1. Ajax

Asynchronous JavaScript and XML (Ajax) are a set of technologies used to create online applications. Because brief packets of data are transmitted with the server and web pages are not reloaded each time a user changes an input, when these technologies are combined, web sites appear more responsive. Ajax enables a web application user to interact with a web page without having to reload the page. During website interaction, only page elements reload and refresh. Ajax is made up of the technologies listed below:

  • XHTML and CSS are used to show information.
  • The Document Object Model (DOM) is used for dynamically interacting with and presenting the information displayed.
  • To alter data asynchronously with the web server, use the XML Http Request object.
  • For data transfer and manipulation, XML, HTML, and XSLT are used.
  • JavaScript is used to bind data requests and show information.

2. jQuery UI

jQuery UI is a robust JavaScript library that is developed on top of the jQuery JavaScript framework. UI is an abbreviation for User Interface. It is a collection of jQuery plug-ins that offer new functionality to the jQuery core framework. jQuery UI's plug-ins include interface interactions, effects, animations, widgets, and themes that are developed on top of the jQuery JavaScript Library. It was announced in a blog post on jquery.com by John Resig in September 2007. The most recent version, 1.10.4, requires jQuery 1.6 or later. The MIT License applies to jQuery UI, which is free and open-source software. Familiarity with jQuery and UI is required to get a good Chrome Extension developer job.

3. HTML

HTML is an abbreviation for Hyper Text Markup Language, which is a programming language used to create web pages and web applications. Let's define Hypertext Markup Language (HTML) and Web pages. Hyper Text is an abbreviation for "Text inside Text." A hypertext is a text that has a link. You have utilized hypertext when you click on a link that leads you to a new webpage. HyperText is a method of connecting two or more web pages (HTML documents). A markup language is a computer language used to apply style and formatting principles to text documents. Markup language enhances the interactivity and dynamic nature of text. It can convert text into graphics, tables, links, and so forth. A web page is a document that is typically authored in HTML and translated by a web browser. An URL can be used to locate a web page. A static or dynamic Web page can exist. Static web pages may be created entirely with HTML.

4. CSS

CSS, or Cascading Style Sheets, is a basic design language designed to make the process of creating web pages presentable easier. CSS is in control of the look and feel of a web page. CSS allows you to change the color of the text, the font style, the spacing between paragraphs, how columns are scaled and laid out, what background pictures or colors are used, layout designs, display variants for different devices and screen sizes, and a multitude of other effects. CSS is simple to learn and understand, but it allows you a lot of control over the appearance of an HTML document. CSS is most typically used in conjunction with the markup languages HTML or XHTML. A deep understanding of both HTML and CSS is required in a Chrome Extension developer job.

5. Node.js

Node.js is a framework for quickly creating fast and scalable network applications that is built on Chrome's JavaScript engine. Node.js has an event-driven, non-blocking I/O architecture, making it lightweight and efficient, making it ideal for data-intensive real-time applications that operate across dispersed devices. Node.js is a cross-platform open-source runtime environment for creating server-side and networking applications. Node.js apps are written in JavaScript and may be executed on OS X, Microsoft Windows, and Linux using the Node.js runtime. Node.js also has a large library of JavaScript modules, which greatly facilitates the creation of web applications using Node.js.

6. JavaScript

JavaScript is a computer programming language that is dynamic. It is lightweight and is most widely used as a component of web pages, where its implementations allow client-side scripts to interact with the user and create dynamic sites. It is an object-oriented programming language that may be interpreted. JavaScript was originally known as Live Script, but Netscape changed its name to JavaScript, probably due to the buzz produced by Java. JavaScript initially appeared in Netscape 2.0 in 1995 under the moniker Live Script. The language's general-purpose core has been integrated in Netscape, Internet Explorer, and other web browsers.

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How to get remote Chrome Extension Developer jobs?

Athletes and developers share numerous parallels. To excel in their craft, one must practice successfully and on a regular basis. They must also put in a lot of work to enhance their skills over time. In this regard, there are two critical aspects that developers must focus on in order for advancement to occur: soliciting the assistance of someone more experienced and successful in practice techniques while practicing, and employing more effective practice processes. Knowing how much to practice as a developer is critical, so make sure you have someone to assist you and keep an eye out for signs of burnout!
Turing has the greatest remote Chrome Extension developer jobs to help you reach your Chrome Extension developer career goals. Working with cutting-edge technologies to tackle complicated technological and business challenges will assist you in swiftly expanding. Join a network of the world's greatest developers to find full-time, long-term remote Chrome Extension developer jobs with greater income and prospects for promotion.

Why become a Chrome Extension developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Chrome Extension developer?

Every Chrome Extension developer at Turing has the ability to determine their own hourly rate. Turing, on the other hand, will propose a pay that we are confident will provide you with a rewarding and long-term opportunity. Our suggestions are based on our research into market conditions as well as the demand we see from our clients.

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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