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: Data Scientist
Type:Part-time
Compensation:$14/hour
Location:India
Commitment:2040 hours/week
Role Responsibilities
- Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
- Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
- Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
- Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
- Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
- Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.
Qualifications
Must-Have
- Strong background in data science, machine learning, or applied statistics.
- Proficiency in Python, SQL, and familiarity with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow.
- Understanding of probabilistic modeling, statistical inference, and experimentation frameworks.
- Experience with large-scale data systems like Snowflake or BigQuery.
Preferred
- Curiosity about AI agents and data's role in shaping their reasoning and behavior.
- Enjoyment in collaborating with cross-functional teams to define KPIs and experiment setups.
Compensation & Legal
- Weekly bonus of $500 - $1000 USD per 5 tasks created.
Application Process (Takes 2030 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: [Confidential Information]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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