Senior Software Engineer & LLM Code Trainer (Remote, Latin America)
Kake · Uruguay
Description du poste
About the role
We are seeking a Senior Software Engineer who will also act as an LLM Code Trainer, helping to create and evaluate high‑quality AI training data for a leading human‑in‑the‑loop platform. This remote position blends deep software engineering expertise with AI evaluation, enabling AI labs to build safer and more capable models.
Key responsibilities
- Create and review coding tasks that reflect real‑world engineering scenarios, including debugging, refactoring, API usage, testing, performance, and security.
- Write clear, correct, and testable reference solutions that meet task requirements.
- Evaluate AI‑generated code using structured rubrics, assessing correctness, clarity, security, performance, maintainability, and instruction‑following.
- Compare multiple model outputs, select the best answer, and justify decisions with technical reasoning.
- Identify bugs, hallucinated APIs, missing edge cases, and weak engineering decisions in AI outputs.
- Work with terminal‑based workflows: run tests, debug, manage dependencies, and navigate repositories.
- Follow detailed guidelines consistently and participate in calibration activities to ensure reliable evaluations.
Required profile
- 5+ years of professional software engineering experience in backend, full‑stack, or systems roles.
- Strong proficiency in at least one core language (Python, JavaScript/TypeScript, Go, Java, C++, or SQL).
- Hands‑on experience with Terminal‑Bench or similar terminal‑based evaluation tools.
- Comfortable using Git, command‑line interfaces, and standard development workflows.
- Excellent written and verbal English communication.
- Ability to work independently in a remote, asynchronous, fast‑paced environment.
Required skills
- Python
- JavaScript / TypeScript
- Go
- Java
- C++
- SQL
- Git
- Terminal‑Bench
- Docker
- Linux
- Bash
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Kake
Uruguay
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