Software Engineer – AI Research & Evaluation (US-based)
Listing checked November 6, 2026 · details as published by Turing
Key details
- Pay
- Not published
- Location
- Remote
- Job type
- contract
- Posted
- April 9, 2026
Overview
Turing is hiring a Software Engineering evaluator to build datasets for training and benchmarking large language models. You will work with Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) to curate code examples, correct AI-generated code, and design verification mechanisms. The role focuses on systems-level code, performance-critical applications, and infrastructure, with close collaboration with researchers and cross-functional teams. This is a remote contractor position open to US-based candidates, requiring 10–40 hours per week for an initial one-month term.
What You'll Do6
- Curate and build code examples in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) for AI model training.
- Refine AI-generated code with attention to systems-level correctness, performance, and reliability.
- Work with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
- Build agents that verify the quality of systems-level and infrastructure code and spot error patterns.
- Form hypotheses about stages of the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and assess model capabilities on them.
- Design automated verification mechanisms for solutions to software engineering tasks.
Requirements6
- 3+ years of software engineering experience.
- 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 with 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.
- Candidates must be based in the United States.
Preferred Qualifications2
- Experience at high-scale engineering organizations like Google, Microsoft, Apple, Amazon, or Meta.
- Graduation from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, or Purdue.
Who Should Apply
The role suits engineers with 3+ years of production experience in systems, infrastructure, or backend development. Candidates who have worked at high-scale tech companies or hold strong CS degrees from top programs will stand out. If you enjoy code review, performance tuning, and shaping how AI models learn to code, apply.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Pay not disclosed
The employer did not publish pay for this role.
Typical pay · estimated
$70/hour
Median of 1,335 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$95 per hour.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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Most requested skills · share of roles
- ai evaluation13%
- llm evaluation12%
- data annotation11%
- ai training11%
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