| Description: |
Salary: £? - ? per year Requirements: - Several years of software engineering experience (3+ years).
- Strong expertise in systems programming, infrastructure, or backend development using languages such as Python, C/C++, Rust, and Go.
- Experience building and deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
- Ideal background: engineers who have built production systems at high-scale organizations (e.g., Google, Microsoft, Apple, Amazon, Meta) or graduates from strong CS programs (examples: University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue) - exceptional experience and skill take precedence over pedigree.
Responsibilities: - Create cutting-edge datasets for training, benchmarking, and advancing large language models by curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS), with emphasis on systems-level code, performance-critical applications, and infrastructure.
- Evaluate and refine AI-generated code for efficiency, scalability, reliability, and systems-level correctness.
- Collaborate closely with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions and meet industry performance benchmarks.
- Work on AI model training initiatives: curate code examples, build solutions, and correct code across listed languages.
- Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns.
- Hypothesize and evaluate steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and assess model capabilities on them.
- Design verification mechanisms that can automatically verify solutions to software engineering tasks.
Technologies: - AI
- API
- Backend
- FastAPI
- Java
- JavaScript
- Python
- Rust
More: - Role: Remote Senior Backend Engineer (Python/FastAPI).
- Salary: 200 - 300 USD per HOUR.
- Tech stack: FastAPI, Python, JavaScript, Java.
- Category: Python Developer / Engineer.
- Location address: 548 Market Street, PMB 18282, San Francisco, United States. Candidates must be based in the United States.
- Benefits & perks: Fully home office / remote work, Flexible work time.
- Engagement details: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week; Type: Contractor (no medical/paid leave); Duration: 1 month (potential extensions based on performance and fit).
- Evaluation process: application takes 15-30 minutes; completion of an AI video interview is required.
- Additional: View this job and over 500 other transparent jobs with salaries & tech stacks on DevITJobs.
- Company: Turing. last updated 20 week of 2026  |
