Turing
Remote Senior Backend Engineer (Python/FastAPI)
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Remote Senior Backend Engineer (Python/FastAPI)
Software Engineering Evaluator (Contractor) – AI Dataset Creation
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:
- Accelerating frontier research through high-quality data, advanced training pipelines, and top AI researchers specialising in:
- Software engineering
- Logical reasoning
- STEM
- Multilinguality
- Multimodality
- Agents
- Helping enterprises transform AI from proof of concept into proprietary intelligence with systems that deliver reliable performance, measurable impact, and bottom-line results.
Ideal Background
This contract role is ideal for engineers who have worked at the frontier of AI—preferably at companies such as:
- OpenAI
- NVIDIA
- Databricks
- Palantir
- Snowflake
- or similar organisations pushing boundaries in intelligent systems.
We especially welcome graduates from top institutions such as:
- Harvard
- Columbia
- Princeton
- Yale
- University of Pennsylvania —but exceptional experience and skill always take precedence over pedigree.
Project Overview
As a Software Engineering Evaluator, you will:
- Create cutting-edge datasets for training, benchmarking, and advancing large language models (LLMs).
- Collaborate closely with researchers to curate code examples, provide precise solutions, and refine Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
- Focus on systems-level code, performance-critical applications, and infrastructure.
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
- Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
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What Does a Typical Day Look Like?
- Curate code examples, build solutions, and correct code in:
- Python
- C/C++
- Rust
- Go
- Java
- JavaScript (ReactJS)
- Evaluate and refine AI-generated code for systems-level correctness, performance, and reliability.
- Collaborate with cross-functional teams to improve AI-driven coding solutions against industry benchmarks.
- Develop autonomous agents that verify systems-level and infrastructure code quality, identifying error patterns.
- Hypothesise about phases of the software engineering lifecycle:
- Prototyping
- Architecture design
- API design
- Production implementation
- Launches
- Experiments
- Monitoring
- Operational maintenance
- Evaluate model capabilities in these stages.
- Design automated verification mechanisms for software engineering tasks.
Required Skills
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- 3+ years of software engineering experience (minimum requirement).
- Strong expertise in:
- Systems programming
- Infrastructure or backend development
- Proficiency in Python, C/C++, Rust, and Go.
- Experience building and deploying scalable, production-grade software using modern tools.
- Deep understanding of:
- Software architecture
- Design and development processes
- Debugging
- Code quality and evaluation practices.
- Excellent communication skills (oral and written) for clear, structured evaluation rationales.
Engagement Details
- Commitment: Flexible (minimum 10 hrs/week, max 40 hrs/week).
- Type: Contractor (no medical benefits or paid leave).
- Duration: 1-month commitment, with potential extensions based on performance and fit.
- Location: Candidates must be based in the United States.
Evaluation Process
- Application process takes 15–30 minutes.
- Requires completion of an AI video interview.
- Note: You will undergo an AI-based evaluation post-application.
After applying, you’ll receive a login link in an email. Use it to:
- Access the portal
- Complete your profile.
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