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Data Science Expert - Remote

Mercorabout 23 hours ago
Remote
Greater Montreal Metropolitan Area
Senior Level
Part-Time

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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

About Mercor

Software Development
51-200

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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