Work Type: Contractor | Permanent RemoteCompensation: USD 50 – 125/hourHours: 10 to 40 hours/week (Partial PST overlap required)Experience Required: 5 – 10 YearsContract Duration: 1 Month (Extension based on performance)Notice Period: Immediate preferredNoteThis is a contract-based, fully remote role. Only citizens or valid work permit holders from the US, Canada, Australia, or Western Europe are eligible. No medical benefits or paid leave. Contractors must manage their own taxes and compliance. Payment is based on actual hours worked. Job OverviewWe're seeking skilled Fullstack Engineers to join cutting-edge AI projects focused on enhancing the performance of Large Language Models (LLMs) in real-world software tasks.
Your work will help train, test, and validate LLMs by evaluating AI-generated code, contributing to agent-based applications, and collaborating with a high-performance team of engineers and researchers. You will play a key role in building datasets, testing model responses, and pushing AI systems closer to real developer productivity.
Key ResponsibilitiesContribute to LLM-focused projects that evaluate AI performance on realistic software engineering tasks Build and lead agent use cases such as coding copilots, creative tools, or automation bots Review and rank 3–4 AI-generated code solutions per task using a structured framework Analyze code diffs for accuracy, efficiency, and readability Construct fullstack tools for data pipeline support and internal testing environments Identify and report edge cases in model outputs, providing well-structured rationale Work closely with researchers and engineers to improve model behavior and code qualityMust-Have Skills5+ years of hands-on software engineering experience, including strong fullstack development 1+ years full-time (FTE only) at a top 50 tech company if US-based, 2+ years if located outside the US Deep knowledge of software design, code review, debugging, and scalable systems Proven expertise in building production-grade applications using modern frameworks Excellent communication skills for writing clear evaluation rationales Proficient in Git workflows, JavaScript/Python, and cloud platforms (AWS, GCP, etc.
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