5 дней назад
Backend Developer (AI)
45 - 80$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Developer (AI) (Python/JavaScript/TypeScript): Designing and evaluating production-realistic software engineering tasks for a leading AI Lab with an accent on bug resolution, feature implementation, refactoring, migration, and test generation. Focus on building multi-file coding scenarios, writing reference implementations, extending test suites, and reviewing peer submissions for correctness and realism.
Location: Fully remote from Argentina
Compensation: $45–$80 per hour; project-based consultants are paid per project, with hourly rates estimated from anticipated completion time.
Company
provides project-based expert evaluation services for a leading AI Lab.
What you will do
- Design and implement multi-file coding tasks covering bug fixing, feature development, refactoring, migrations, and testing.
- Write clear specifications and complete reference implementations.
- Develop and extend unit and integration test suites.
- Review peer-generated tasks for correctness, clarity, and realism.
- Identify edge cases, ambiguities, and potential failure modes.
- Ensure alignment between specifications, code, and expected outputs.
Requirements
- Location: Argentina; fully remote work.
- Advanced professional written English proficiency.
- 2–5 years of professional software engineering experience.
- Strong proficiency in Python and JavaScript/TypeScript, plus working knowledge of Java, C#, or Go.
- Backend or full-stack experience with production systems and testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.
- Experience navigating large multi-file codebases, debugging, code reviews, refactoring, and production migrations.
Culture & Benefits
- Part-time, project-based consultant engagement.
- Flexible self-managed schedule.
- Provide personal tools and potentially work with other vendors or employers, subject to their allowances.
- Work focuses on realistic coding tasks and structured peer-review feedback.
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