Role Description
• Design challenging, real-world STEM problems to evaluate model reasoning and problem-solving.
• Implement tasks using Python in an agentic development environment.
• Analyze model/agent behavior to diagnose reasoning gaps and improve performance.
• Develop reproducible and testable deliverables with clear specifications and deterministic tests.
• Collaborate with AI research teams to enhance model outputs and training data quality.
• Work independently and asynchronously to meet deadlines and project goals.
Qualifications
• Deep expertise in data science, machine learning, finance, and/or Python-based coding.
• Active or recently graduated PhD (Top 20 U.S.-based school).
• Strong research background in frontier STEM topics.
• Ability to engage reliably for 30+ hours/week, primarily on weekdays.
• Demonstrated technical output such as high-quality open-source contributions.
• Comfort reading and reasoning about agent behavior traces to diagnose failure modes.
Requirements
• Familiarity with agentic frameworks and OSS ecosystems like LangChain, MetaGPT, AutoGen, AutoGPT, CrewAI, LlamaIndex, BabyAGI, SuperAGI, CAMEL, AgentGPT, Dify.
Benefits
• Compensation: $50–$100/hour
• Commitment: 30+ hours/week
• Type: Contract
Application Process
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
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Interview Process
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[email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.