Remote TypeScript Python developer jobs

We, at Turing, are looking for talented remote TypeScript Python developers who will play a pivotal role in developing, deploying, and maintaining large-scale infrastructure solutions. Additionally, familiarity with Language Generative AI and LLM technologies will be advantageous in leveraging advanced capabilities for our projects. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Design and deliver user interfaces, database schemas, and APIs.
  • Write clean, testable, maintainable, and reusable code to adapt to evolving project requirements.
  • Assist in test automation to ensure rapid validation.
  • Troubleshoot and resolve issues, isolating potential causes of problems.
  • Participate in architecture, design, and code reviews to ensure the delivery of error-free solutions.
  • Optimize applications for peak performance, focusing on speed, scalability, and efficiency.
  • Handle setup and maintenance of infrastructure.
  • Maintain architectural and technical documentation up-to-date as a reference for future projects, including those involving AI-driven components.

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT, or equivalent experience.
  • At least 3+ years of full-stack development experience, with exceptions made for candidates with demonstrable expertise in generative AI and large language models (LLM) projects.
  • Proficiency in TypeScript and Python, essential for development work in AI-centric projects.
  • Experience in developing complex, large-scale software solutions, with preference given to those designed for AI applications.
  • Demonstrated knowledge in frameworks such as Django, Flask, NestJS, pivotal in building scalable applications.
  • Proficient in full-stack development components including REST APIs, UI/UX design, cross-browser compatibility, and web functions.
  • Strong understanding of ORM libraries.
  • Fluency in English for effective communication within global, technical teams.
  • Commitment to a full-time schedule (40 hours/week) with a 4-hour overlap with US time zones.

Preferred skills

  • Knowledge of front-end technologies (HTML, CSS, JavaScript, AJAX, DOM, SASS/LESS), contributing to dynamic, responsive UI/UX design.
  • Experience in unit testing to reinforce code quality, crucial in maintaining robustness in AI integrations.
  • Familiarity with Python applied to AI, ML, including generative AI and deep learning segments.
  • Proficiency in additional programming languages such as Java, Solidity, and Rust offers a broader base for AI development.
  • Previous working experience in agile/scrum environments.
  • Strong interpersonal and organizational skills.

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How to become a TypeScript Python developer?

Python developers are highly sought after in today's competitive IT industry, especially within startup environments where efficiency is key. TypeScript, an open-source JavaScript superset, was created by Microsoft in 2012 to facilitate the development of large, scalable projects. It offers static typing for easier code maintenance while remaining compatible with existing codebases. As the demand for remote TypeScript Python developer positions grows alongside the expanding user base of mobile and internet technologies, proficiency in TypeScript development could lead to stable and lucrative career opportunities.

What is the scope of TypeScript Python development?

TypeScript has emerged as a prominent language for front-end development, aligning seamlessly with major frameworks like React, Angular, and Vue. Its robust functional tooling and advancements such as assertive signatures, recursive type aliases, and top-level await have cemented its popularity among JavaScript developers and framework creators alike. Furthermore, the integration of Generative AI and LLM techniques into TypeScript development workflows has expanded its capabilities and utility.

Meanwhile, Python has solidified its position as the most favored programming language, outpacing traditional languages such as C, C++, and Java. Its widespread adoption spans diverse domains, with tech giants like Netflix, Google, and Facebook relying on it extensively for backend services and data analysis. Python's versatility extends beyond traditional boundaries, permeating fields like web development, machine learning, and artificial intelligence, where the integration of LLMs and GenAI has further amplified its impact and relevance in modern technological ecosystems.

What are the roles and responsibilities of a TypeScript Python developer?

The role of a TypeScript Python developer encompasses a diverse range of responsibilities, now further enhanced with the integration of advanced language models like Generative AI with LLM. Developers may be tasked with writing code structures, developing tools, building websites, and launching new services while leveraging the capabilities of LLM based Generative AI to streamline development processes and enhance code quality.

Collaboration with data analysis teams becomes crucial as developers utilize Generative AI and LLM to provide effective responses to queries and deliver meaningful insights. Furthermore, TypeScript's superset status, augmented by features like possible null checking and type annotations, complements the advanced capabilities of Generative AI with LLM, enabling developers to create robust and scalable applications with ease.


A TypeScript Python developer is in charge of writing, developing, implementing, and debugging development projects, which are often server-side (or backend). They may, however, assist enterprises with their technology infrastructure.

Python programmers frequently work on the server-side, either coding logic or building platforms. They are usually in charge of providing apps and collaborating with development and design teams to produce user-friendly websites and applications. Front-end developers are also helped by connecting their work with the Python application.

Your responsibilities in a TypeScript Python developer job include:

  • User interface strategy planning, development, and deployment
  • Collaborate with designers and other developers to create user-friendly web application interfaces.
  • Enhance the website in order to deliver the greatest possible user experience.
  • Conduct a code analysis to enhance the procedure's quality and make recommendations for modifications.
  • Enhance the look and feel of your websites.
  • To boost user engagement, look at best practices.
  • Responsible for the current project's process documentation.

How to become a TypeScript Python developer?

Getting a TypeScript Python developer job is becoming increasingly popular among IT workers. It's not as difficult as it appears to get a TypeScript Python developer job. Taking college-level classes or earning a degree/diploma in computer science is the most apparent and well-known approach to get a TypeScript Python developer job.

It's worth noting, however, that being a TypeScript Python developer does not necessitate a computer science degree. All you need is an understanding of Python development fundamentals and a grasp of the Python programming language.

Learn how to build Typescript solutions in a commercial context through tutorials or boot camps. TypeScript Python developer jobs also require being well-versed in related programming languages such as Java, JavaScript, PHP, and Ruby. Work on projects that use frameworks and libraries, particularly React and Angular, to build a solid portfolio.

To get a competent TypeScript Python developer job, you'll need to master the following abilities and methods:

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Skills required to become a TypeScript Python developer

The first step is to begin studying the critical skills that will help you land high-paying TypeScript Python developer jobs. Let's have a look at what you'll need to know to become a TypeScript Python programmer.

1. Proficiency in Python Frameworks and Libraries

TypeScript Python developers must be adept at utilizing frameworks like Django, Flask, and libraries available in the Python ecosystem to accelerate development and leverage pre-built solutions. With Generative AI and LLM's assistance, developers can explore and implement these frameworks and libraries effectively, enhancing project efficiency and scalability.

2. Strong Front-end Development Skills

Knowledge of HTML, CSS, and JavaScript is essential for TypeScript Python developers to create visually appealing and interactive web applications. Generative AI and LLM's understanding of front-end technologies can aid developers in optimizing user interfaces and ensuring seamless integration with backend components.

3. HTML and CSS

HTML and CSS are inextricably linked. A website will not be structurally solid if it lacks HTML since the elements will lack a sense of breadth. Users expect aesthetically appealing sites that take full advantage of web properties to make things seem as beautiful as possible if they employ CSS. Because the styles allow for different image sizes for different viewing environments rather than relying on a hardcoded image size that tends to look ugly when resized down or padded out using a zoom or text resizing mechanism, many elements can appear to be visually "alive" even if they don't move.

4. JavaScript

HTML and CSS are the ideal choices for a text-only website because they are primarily static. JavaScript, on the other hand, provides interactive components to web pages and allows users to participate. Developers may use this to create web servers and server applications. It enables you to include interactive elements like polls, slideshows, and forms that detect touchscreen users' clicks on your websites. This client-side programming language enables you to incorporate dynamic elements such as page animation, scrolling, music, and video into your websites.

5. Familiarity with AJAX and Asynchronous Web Development

TypeScript Python developers should have expertise in AJAX (Asynchronous JavaScript + XML) to enable seamless communication between the client and server, facilitating asynchronous web page updates. By leveraging Generative AI with LLM's insights, developers can implement efficient AJAX techniques and enhance the responsiveness of web applications.

6. Adaptability to AI-driven Development Paradigms

Integrating Generative AI with LLM into the TypeScript Python development workflow requires developers to adapt to AI-driven development methodologies. This includes leveraging LLM based Generative AI's natural language understanding capabilities to streamline code generation, documentation, and collaborative development processes.

7. Continuous Learning and Innovation

With the rapid evolution of LLM based Generative AI and advancements in TypeScript Python development, developers must engage in continuous learning and innovation. Staying updated on the latest features and best practices enables developers to harness the full potential of Generative AI with LLM and deliver cutting-edge solutions to meet evolving industry demands.

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How to get remote TypeScript Python developer jobs?

Developers are similar to athletes. They must practice properly and persistently to excel in their craft. They must also work hard enough so that their talents improve over time. In this regard, there are two major factors that developers must focus on in order for that progress to occur: the support of someone more experienced and effective in practice techniques while you're practicing, and the support of someone more experienced and effective in practice techniques while you're practicing. As a developer, you must know how much to practice, therefore have someone on hand to assist you and watch for indications of burnout!

Turing has the top remote TypeScript Python developer jobs that fit your TypeScript Python developer professional goals. Working on difficult technological and business challenges with cutting-edge technology will help you grow quickly. Get a full-time, long-term remote TypeScript Python developer job with greater income and career progression by joining a network of the world's greatest developers.

Why become a typescript developer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their TypeScript Python developers?

Every TypeScript Python developer at Turing has the ability to select their own price. However, Turing will propose a pay at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our evaluation of market circumstances as well as consumer needs.

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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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.

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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
Python Automation and Task Creator

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

We are seeking a detail-oriented Computer-Using Agent (CUA) to perform structured automation tasks within Ubuntu-based virtual desktop environments. In this role, you will interact with real desktop applications using Python-based GUI automation tools, execute workflows with high accuracy, and document every step taken.

This is a hands-on execution role ideal for candidates who are comfortable working with Linux systems, virtualization tools, and repeatable task workflows in a controlled environment.


What Does the Day-to-Day Look Like?

  • Set up and operate Ubuntu virtual machines using VMware or VirtualBox
  • Automate mouse and keyboard interactions using Python-based GUI automation (e.g., PyAutoGUI)
  • Execute predefined workflows across various Ubuntu desktop applications
  • Ensure tasks are completed accurately and can be reproduced consistently
  • Capture and document all actions, steps, and outcomes in a structured format
  • Collaborate with the delivery team to refine automation scenarios and workflows

Required Skills & Qualifications

  • Hands-on experience with Ubuntu/Linux desktop environments
  • Working knowledge of PyAutoGUI or similar GUI automation frameworks
  • Basic Python scripting and debugging skills
  • Familiarity with VMware or VirtualBox
  • Strong attention to detail and ability to follow step-by-step instructions
  • Clear documentation and reporting skills

Application Domains

You will be expected to perform automation tasks across the following Ubuntu-based environments:

  • os – Core Ubuntu desktop environment
  • chrome – Ubuntu with Google Chrome
  • gimp – Ubuntu with GIMP
  • libreoffice_calc – LibreOffice Calc
  • libreoffice_writer – LibreOffice Writer
  • libreoffice_impress – LibreOffice Impress
  • thunderbird – Thunderbird email client
  • vlc – VLC media player
  • vs_code – Visual Studio Code

Perks of Freelancing With Turing

  • Fully remote work.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with 4 hours of overlap with PST. 
  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 2 month
Holding Companies & Conglomerates
10K+ employees
Python
briefcase
Knowledge Graph Expert (Knowledge Graph / SQL / LLM)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

The Ads Content Understanding team’s mission is to build the foundational engine for interpretable and frictionless understanding of all organic and paid content on our platform. Leverage state-of-the-art applied ML and a robust Knowledge Graph (KG) to extract high-quality, monetization-focused signals from raw content — powering better ads, marketplace performance, and actionable business insights at scale.

We are seeking a Knowledge Graph Expert to help us grow and curate our KG of entities and relationships, bringing it to the next level.


About the Role


We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.

 

Key Responsibilities


  • Onboarding of new entities to the Knowledge Graph maintained by the Ads team
  •  Data entry, data labeling for automation of content understanding capabilities
  • LLM Prompt tuning for content understanding automation

What You'll Do


1. Pipeline Management & Prioritization

  • Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
  • Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.

2. AI-Assisted Curation & Human-in-the-Loop

  • Oversee Automation: Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
  • Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
  • Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.

3. Data Integrity & Stakeholder Management

  • Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
  • Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.


Qualifications for this role:

  • Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties)
  • Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
  • Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
  • AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.

Operational & Soft Skills

  • Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
  • Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
  • Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
  • Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 8 hours of overlap with Netherlands
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
LLMSQL
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