Software Engineer
Job description
overview
- In this role, you will contribute to projects that help evaluate and enhance AI systems using your software engineering expertise and analytical problem-solving skills.
- No prior AI experience is required.
- These projects will help you explore how AI can be leveraged to improve software reasoning, coding accuracy, and development efficiency.
- Design and solve real-world software engineering and algorithmic problems to test AI reasoning.
- Write clear, step-by-step coding solutions across data structures, APIs, debugging, and optimization techniques.
- Evaluate AI responses for accuracy, efficiency, and adherence to software design principles.
- Collaborate with researchers to refine AI understanding of code generation, problem-solving, and real-world development workflows.
Requirements
- 4+ years of experience as a Software Developer, Engineer, or Programmer.
- Background in Computer Science, Software Engineering, or a related field.
- Proficiency in one or more languages: Python, Java, JavaScript, C++, or Go.
- Familiarity with Git, REST APIs, and agile development methodologies preferred.
- Excellent English communication and ability to document and explain code logic clearly.
- Strong compensation (exact amount varies by project).
- Fully remote work environment.
- Engagement type: Contractor assignment/freelancer, potentially full-time.
- Duration of projects: approximately 1 month, with the possibility for extension.
- Confidential or proprietary information from any employer, university, etc.
- Trade secrets or internal company or university data.
- Specific client information or case details.
- Any information that would violate NDAs, employment agreements or other confidentiality obligations.
Skills mentioned
Turing builds and deploys generative AI products and solutions for organizations managing complex data. Trusted by global commercial enterprises, we solve their human intelligence business challenges and amplify productivity. From research to real-world results, Turing bridges cutting-edge research with practical deployment, powering breakthroughs in AI reasoning, problem-solving, and coding capabilities. With expertise in data infrastructure, human-in-the-loop systems, and advanced model post-training, we ensure AI labs and enterprises stay at the forefront of innovation. Turing’s dual-unit approach advances your AGI progress, then applies those advancements to your real-world challenges—ensuring innovations are paired with practical implementation. Our model is built for code understanding, iterative debugging, and working with visual inputs and tools, making us a trusted partner for tech companies.
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