3 дня назад
SWE AI Training Data Expert (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SWE AI Training Data Expert (AI): Creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools with an accent on deterministic verification, reproducible scenarios, and reference solutions. Focus on designing bug-fixing, feature-development, refactoring, and performance-optimization tasks, evaluating AI agents, and providing precise technical feedback.
Location: Remote
Work type: Contractor, approximately 15 hours per week.
Company
delivers software engineering consulting and AI training projects.
What you will do
- Create reinforcement learning environments for software engineering tasks.
- Design tasks covering bug fixing, feature implementation, codebase refactoring, and performance optimization.
- Build deterministic verification systems and golden reference solutions.
- Evaluate AI agents' reasoning through complex codebases and their use of Model Context Protocol tools.
- Develop realistic, reproducible scenarios that measure coding ability, problem-solving, and tool usage.
- Document solutions and provide clear technical feedback.
Requirements
- Strong proficiency in Python, Java, Rust, C++, or TypeScript.
- Strong understanding of algorithms and data structures.
- Experience debugging complex software issues, implementing features, and refactoring codebases.
- Strong knowledge of performance optimization and tuning.
- Excellent written and verbal communication with strong attention to detail.
Nice to have
- Experience with large-scale or distributed codebases.
- Familiarity with AI/ML systems.
- Experience with rigorous code reviews and software engineering best practices.
- Experience working in remote or cross-functional teams.
Culture & Benefits
- Remote contractor engagement.
- Output-based compensation paid per task meeting project specifications.
- Minimum weekly submission requirements may apply.
- First tasks should begin within 24–48 hours after onboarding.
Hiring process
- Submit an application and screening questions.
- Complete an approximately 30-minute AI interview.
- Complete a technical assessment if required, followed by hiring manager review.
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