At a Glance
- Tasks: Analyse GitHub issues, set up code repositories, and evaluate LLM performance.
- Company: Join Turing, a fast-growing AI company shaping the future of software development.
- Benefits: Enjoy fully remote work and competitive pay rates from $40 to $100/hour.
- Other info: Contract role for 20 hours/week, with potential for team leadership.
- Why this job: Blend software engineering with AI research and influence cutting-edge technology.
- Qualifications: Strong experience in programming languages and familiarity with popular GitHub repositories required.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.
About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.
What does day-to-day look like:
- Analyse and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and environment setup.
- Evaluating unit test coverage and quality.
- Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
- Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
- Opportunities to lead a team of junior engineers to collaborate on projects.
Required Skills:
- Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
- Experience working with well-maintained, widely-used repositories with 500+ stars.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to understand and navigate complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to or evaluating open-source projects is a plus.
Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.
Nice to Have:
- Previous participation in LLM research or evaluation projects.
- Experience building or testing developer tools or automation agents.
Perks of Freelancing With Turing:
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer details:
- Commitment required: 20 hours per week with some overlap with PST.
- Employment type: Contractor assignment (no medical/paid leave).
- Duration of contract: 1 month with expected start date as next week.
- Rates: $40–$100/hour, based on experience and skill level.
Remote Senior Software Engineer - 34123 employer: Turing
Turing is an exceptional employer that fosters a fully remote, collaborative environment where your expertise as a Cardiologist can directly influence the future of AI in healthcare. With a commitment to employee growth and innovation, Turing offers unique opportunities to engage with cutting-edge technology while working alongside top-tier professionals in the field. Join us in shaping the next generation of medical AI, all from the comfort of your own home.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Software Engineer - 34123
✨Tip Number 1
Familiarise yourself with popular GitHub repositories that have over 500 stars. Spend some time exploring their codebases, understanding their structure, and identifying common issues. This will not only help you in the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the open-source community by contributing to projects similar to those mentioned in the job description. This could involve fixing bugs or enhancing documentation. Such contributions can showcase your skills and commitment to potential employers.
✨Tip Number 3
Brush up on your knowledge of Docker and Git, as these are essential tools for the role. Consider setting up a personal project where you can practice using these technologies to automate development environments, which will give you practical experience to discuss during interviews.
✨Tip Number 4
Network with professionals in the AI and software engineering fields. Join relevant online forums or attend virtual meetups to connect with others who may have insights into the hiring process at companies like us. Personal connections can often lead to valuable referrals.
We think you need these skills to ace Remote Senior Software Engineer - 34123
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with high-quality public GitHub repositories, especially those with 500+ stars. Emphasise your proficiency in relevant programming languages and tools like Git and Docker.
Craft a Compelling Cover Letter:In your cover letter, explain why you're interested in the role and how your background aligns with the company's focus on AI and software engineering. Mention any relevant projects or contributions to open-source that demonstrate your skills.
Showcase Relevant Projects:Include links to specific projects or repositories you've worked on that are similar to the tasks described in the job posting. Highlight your role in these projects and any challenges you overcame.
Proofread Your Application:Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a software engineering role.
How to prepare for a job interview at Turing
✨Showcase Your GitHub Experience
Make sure to highlight your experience with well-maintained repositories, especially those with 500+ stars. Be prepared to discuss specific projects you've contributed to and the impact of your work.
✨Demonstrate Your Technical Skills
Brush up on the programming languages mentioned in the job description. Be ready to solve coding problems or discuss technical challenges you've faced in previous roles, particularly related to Docker and Git.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios, such as bug-fixing or evaluating test coverage. Think of examples from your past experiences where you successfully navigated similar challenges.
✨Emphasise Collaboration and Leadership
Since the role involves leading a team of junior engineers, be prepared to discuss your leadership style and how you foster collaboration. Share examples of how you've mentored others or led projects in the past.
