Software Engineer – AI Code Evaluation & Benchmarking (US candidates only)
We are looking for experienced Software Engineers to help evaluate, benchmark, and improve the coding capabilities of frontier AI models.
Hiring companyTuring
About the role
In this role, you will assess AI-generated code, validate solutions against real-world software engineering tasks, identify correctness and quality issues, and contribute to the development of high-quality evaluation datasets and benchmarks.
This position is ideal for engineers who enjoy code review, debugging, problem-solving, and applying strong software engineering judgment to complex technical scenarios. Your work will directly contribute to measuring and improving the performance of advanced AI coding systems.
Perks of Freelancing With Turing
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Duration of contract : 1 month; [expected start date is next week].
Responsibilities
- Review and evaluate AI-generated code for correctness, efficiency, maintainability, and adherence to requirements.
- Analyze software engineering tasks and validate whether proposed solutions meet expected outcomes.
- Debug code, reproduce issues, and verify fixes across different programming environments.
- Assess model-generated explanations, reasoning, and implementation approaches for technical accuracy.
- Create, refine, and maintain evaluation datasets, benchmarks, and grading rubrics for coding tasks.
- Identify edge cases, failure modes, and areas where AI systems struggle with software engineering problems.
- Document findings clearly and provide structured feedback to improve evaluation quality and consistency.
- Collaborate with project teams to establish quality standards and evaluation methodologies.
Required skills
- Strong proficiency in one or more of the following languages: Python, Java, C/C++, Go, Swift, Objective-C, PHP, or SQL.
- Strong understanding of data structures, algorithms, software design principles, and debugging methodologies.
- Experience performing code reviews and evaluating code quality in production or large-scale codebases.
- Ability to analyze complex technical problems and assess solution correctness with minimal supervision.
- Familiarity with version control systems (e.g., Git) and modern software development workflows.
- Strong written communication skills and attention to detail.
Preferred skills
- Experience with AI/ML data annotation, NLP, prompt engineering, model evaluation, or LLM-related projects is a plus.
- Experience evaluating AI-generated code, benchmark creation, or software quality assessment is highly preferred.
Experience and education
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- 3+ years of professional software engineering experience.
Assessment requirements
Online automated coding challenge for Python and Docker test (RHLF).
Schedule details
Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
Eligibility
Work arrangement: Fully remote
Eligible countries: United States
Compensation details
Engagement type : Contractor assignment (no medical/paid leave).
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