Data Science Analyst
Company: Mercor
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-03-15
About this 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 applicati...