Remote MATLAB developer jobs

We, at Turing, are looking for remote MATLAB developers who will be responsible for designing, building, maintaining, and analyzing next-gen applications and products. This is your chance to work with top Silicon Valley companies and accelerate your career.

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Job description

Job responsibilities

  • Design, build and maintain MATLAB applications
  • Perform application maintenance and provide support to app users
  • Work thoroughly on MATLAB systems to develop high-tech solutions
  • Integrate other software into MATLAB components
  • Perform audits of MATLAB applications and update security patches

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • At least 3+ years of experience as a MATLAB developer (rare exceptions for highly skilled developers)
  • Proficiency in MATLAB, Python, and C++
  • Extensive knowledge of Simulink environment
  • Good understanding of MathWorks OPC toolkit, simulation, and automation
  • Experience with major components of MATLAB, including MATLAB API, work environment, graphic and image processing
  • Ability to stick to strict deadlines and project management best practices
  • 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

  • Experience with simulating, modeling, and analyzing multidomain dynamic systems
  • Strong attention to customer requirements and project details
  • Expertise in code versioning tools such as Git
  • Knowledge of object-oriented programming
  • Ability to work in a team environment
  • Excellent organizational and interpersonal skills

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How to become a MATLAB developer?

MATLAB is equally relevant in business and academia for applications. It is useful for deep learning and machine learning, signal processing and communications. Along with image and video processing, control systems and test and measurement. It is supportive of computational finance and computational biology as well. A MATLAB developer job involves use of the MathWorks' MATLAB software. Your responsibilities in a MATLAB developer job change based on your employer's or clients' demands.

Because of its powerful scripting and easy-to-remember syntax, scientists, researchers, and engineers utilize MATLAB, which stands for Matrix Laboratory. Creating a portfolio might help you get recruited if you're looking for a job as a programmer or data scientist that requires MATLAB expertise.

What is the scope in MATLAB development?

Because MATLAB, Simulink, and other toolboxes are quite popular in scientific and engineering areas, it's very probable that you'll use them as your studies progress, and it's also very likely that you'll use them in industry — though it's completely conceivable that you won't. MATLAB will never be an excellent alternative for folks who are searching for a strong wage and a very visible employment profile and location. It may be pursued as a career by people who are searching for something unique and distinct from the norm. It has a bright future ahead of it in the long run. For those who are interested in specialized study or want to work on projects that push their creative abilities, MATLAB never fails to deliver!

What are the roles and responsibilities of a MATLAB developer?

Your tasks in a MATLAB developer job may involve designing a MATLAB application that can connect with applications built in C++ or Python languages. This calls for utilizing your programming and coding talents. You also maintain apps and assist those that use them. Mathematically gifted MATLAB developers build complicated programmes for robotics, animation, and modeling ECU application software. These programmers build code that allows hundreds of operations on the same type of data. Which they wouldn’t be able to do without their ace programming skills and thorough understanding of the Cartesian coordinate system. They also help with coding, debugging, troubleshooting, testing, documentation, and maintenance, among other aspects of the SDLC. Other responsibilities in a MATLAB developer job include –

  • Assisting in refining existing goods and services.
  • Collaborating with the team on prototypes and design reviews to produce user interface designs. Embedded solutions: converting
  • MATLAB algorithms to C++ and improving performance on VLIW/SIMD cores for maximum throughput and lowest latency.
  • Working on an agile software team to develop production software that fulfills customer requirements and adheres to ISO 27001 standards.
  • Performing a variety of duties, like code debugging and troubleshooting, software testing to guarantee that it produces the desired outcomes.
  • To promote interaction with other development platforms, new web services are being created utilizing MATLAB and other programming languages.
  • Updating ancient programmes with RDBMS and integrating them with new technologies on a regular basis to give a high-quality solution to customers and end-users.

How to become a MATLAB developer?

People with a normal engineering background or who have completed a scientific degree can quickly learn MATLAB programming if they are serious about pursuing a research or educational career. It's a type of programming language that's matrix-based and features a number of frequent expressions in computer mathematics. A person with a background in mathematics or statistics is in a good position to get a MATLAB developer job. People who have worked in education or who are pursuing a Ph.D. in mathematics, physics, or any other intriguing engineering area are more likely to use MATLAB as their computer programming language than they are to use mainstream languages like Java, C, or C++.

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Skills required to become a MATLAB developer

To get started with MATLAB, you'll need a basic understanding of computer programming and familiarity with the MATLAB syntax. You can study the fundamentals of MATLAB on your own, but an online MATLAB course or boot camp programme is the most convenient method to learn.

Engineers and developers think that practicing with varied projects is the greatest method to get improved in a MATLAB developer job. While the conventional project format varies based on the project environment, there are certain common skills you may practice in a MATLAB project.

1. Advanced mathematics

The problem-solving capabilities of MATLAB are well-known, as is the ease with which mathematical models and procedures may be used. Engineering, advanced computing, and physics are among domains where these are often used.

2. Machine learning

In a MATLAB developer job, you may practice advanced machine learning by extracting patterns from data, using classification algorithms, and using the Naive Bayes algorithm.

3. Data analytics

Because it entails working with huge datasets or arranging data from many sources and databases, MATLAB projects typically encompass all domains. When working with large data, MATLAB provides a high-performance environment that allows you to do descriptive, diagnostic, predictive, and prescriptive analysis.

4. Coding

MATLAB is a computer language that may help you enhance your coding abilities. MATLAB tasks need a significant amount of code, which will force you to improve your coding approaches and style.

5. Simulink

Simulink is a graphical interface for modelling, simulation, and analysis of dynamic systems. It is a MATLAB add-on product. It allows for the quick creation of virtual prototypes that may be used to explore design concepts at any degree of detail with minimum effort. Simulink has a graphical user interface (GUI) for creating models in the form of block diagrams. It comes with a large library of prefabricated blocks that may be used to create graphical representations of systems by dragging and dropping them. In a MATLAB developer job, the concepts of Simulink need to be clear.

6. C, C++

C++ (or "C-plus-plus") is a general-purpose coding language that has been used for over forty years for game programming, software engineering, data structures, designing browsers, operating systems, apps, and more. In a MATLAB developer job, being proficient in C, C++ or any of the programming languages is required.

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How to get remote MATLAB developer jobs?

You must create a successful job-search plan while getting as much experience as feasible. Before you start looking for work, think about what you're looking for and how you'll utilize that information to refine your search. When it comes to showing to employers that you're job-ready, it's all about getting your hands dirty and putting your talents to work. As a result, continuing to learn and improve is essential. You'll have more to talk about in an interview if you work on more open source, volunteer, or freelancing projects.

Turing has the greatest remote MATLAB developer jobs accessible, all of which are tailored to your MATLAB developer career goals. Working with cutting-edge technology to address complicated technical and business challenges will assist you in quickly expanding. Get a full-time, long-term remote MATLAB developer job with greater compensation and professional progress by joining a network of the world's greatest engineers.

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How much does Turing pay their MATLAB developers?

Turing's MATLAB programmers can choose their own rates. Turing, on the other hand, will propose a pay at which we feel we can provide you a rewarding and long-term position. Our suggestions are based on our analysis of market conditions and our estimations of client 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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briefcase
Annotator - STEM

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.


About the Role:

Annotators are the core builders of SkillsBench. You will design and write AI evaluation tasks — structured challenges given to large language model (LLM) agents running inside automated environments. Each task you create tests whether an AI agent performs significantly better when given domain-specific knowledge 

skills versus without it. Your tasks directly feed into Turing's commercial AI evaluation pipeline, used by clients. 


What You Will Do:

Write clear, unambiguous task instructions that define exactly what an AI agent must produce, where to save it, and what rules to follow Create reference solutions that demonstrate the correct approach and pass all automated checks Write human-readable verifier descriptions listing every check the automated test suite will run Author domain-specific skill files that teach an AI agent the conventions, workflows, and edge cases relevant to the task — without leaking expected answers Ensure the no-skills variant of each task is identical to the with-skills variant except for the absence of skill files Work within the task structure (instruction, environment, solution, tests) and follow Turing's task quality standards 


Required: 

Bachelor's degree or higher in a relevant technical or domain-specific field (Computer Science, Engineering, Finance, Data Science, Linguistics, etc.)  Experience: 1–3 years in a domain where you have hands-on practical expertise (software development, financial analysis, document processing, data science, etc.)  


Must Have:  

Strong written English; ability to write precise, unambiguous instructions 

Genuine hands-on expertise in at least one of the SkillsBench domains (coding, finance, document generation, audio/ML, etc.) 

Ability to think from an AI agent's perspective — what would a model get wrong without guidance? 

Comfort reading and producing structured file outputs (JSON, DOCX, XLSX, Markdown)  


Nice to Have:  

Prior experience with LLM evaluation, prompt engineering, or AI benchmark design 

Familiarity with Python scripting Experience with Docker or containerised environments 

 

Domains : 

Power Systems & Control 

Cybersecurity 

Network & System Engineering 


Offer Details:

  • Commitments Required:  40 hours per week with overlap 4 hours with PST
  • Engagement type  : Contractor assignment(no medical/paid leave)
  • Duration of contract : 2 months; [expected start date is next week]
  • Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
-
1-10 employees
Cyber Security
briefcase
Automation Test Engineer

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
About the Role
Testers verify that each task's automated test suite works correctly. You run the reference solution inside a Docker container and confirm it scores 1.0 against the verifier. If it doesn't pass, you diagnose the failure, determine whether the issue lies in the solution, the verifier, or the environment, and escalate accordingly. Testers are the last checkpoint before a task is marked ready to ship.
What You Will Do
Execute reference solutions inside Docker containers and capture the output Run the pytest-based test suite against the solution output
Diagnose failures: distinguish between a broken solution, a misconfigured verifier, an environment issue, or a task design flaw
Report failures clearly to the Pod Lead or Annotator with enough detail to reproduce the issue Track test results in the shared tracker and flag tasks that are consistently failing or require environment changes
Required:
Bachelor's degree in Computer Science, Engineering, or a related technical field  
5+ years in software QA, DevOps, backend development, or automated testing   Comfortable working in a Linux command-line environment Hands-on experience with Docker (building images, running containers, reading logs)
Ability to read and understand Python code and basic pytest output Systematic debugging mindset: 

Ability to isolate whether a failure is in the code, the config, or the environment  
Nice to Have:  
Familiarity with CI/CD pipelines and containerised test environments Experience with domain-specific libraries (e.g., pandas, openpyxl, pdfplumber, librosa, astropy) depending on batch assignment Understanding of how LLM evaluation pipelines work 

Offer Details:

  • Commitments Required:  40 hours per week with overlap 4 hours with PST
  • Engagement type  : Contractor assignment(no medical/paid leave)
  • Duration of contract : 2 months; [expected start date is next week]
  • Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 60 mins) :

  • 1 round of interviews (Round 1 - 60 min technical )
-
1-10 employees
QAAutomation TestingDevOps
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