Lead Data Scientist | $100/hr PT
Mercor
About the role
• *About The Job** • *Mercor**
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include • *Benchmark**
, • *General Catalyst**
, • *Peter Thiel**
, • *Adam D'Angelo**
, • *Larry Summers**
, and • *Jack Dorsey**
. • *Position:**
Researcher and Technical Expert • *Type:** • *Contract** • *Compensation:** • *$50–$100/hour** • *Commitment:** • *30+ hours/week** • *Role Responsibilities** • 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** • *Must-Have** • 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. • *Preferred** • Familiarity with agentic frameworks and OSS ecosystems like LangChain, MetaGPT, AutoGen, AutoGPT, CrewAI, LlamaIndex, BabyAGI, SuperAGI, CAMEL, AgentGPT, Dify. • *Application Process (Takes 20–30 mins to complete)** • Upload resume • AI interview based on your resume • Submit form • *Resources & Support** • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome • For any help or support, reach out to: support@mercor.com • PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
,
Requirements
- *Must-Have**
- 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
- Familiarity with agentic frameworks and OSS ecosystems like LangChain, MetaGPT, AutoGen, AutoGPT, CrewAI, LlamaIndex, BabyAGI, SuperAGI, CAMEL, AgentGPT, Dify
- *Application Process (Takes 20–30 mins to complete)**
- Upload resume
Responsibilities
- *30+ hours/week**
- 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
- Comfort reading and reasoning about agent behavior traces to diagnose failure modes
- For any help or support, reach out to: support@mercor.com
Benefits
Skills
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