Senior data science and engineering experts designing evaluations and pipelines for Mercor’s frontier AI projects. Applying rigorous judgment to train and assess advanced AI models.
Responsibilities
Design realistic, challenging data science and data engineering tasks
Create exploratory analyses, statistical models, machine learning pipelines, ETL and data pipeline designs, SQL and Python workflows, and experimentation or A/B test write-ups
Write precise, task-specific criteria for data science and data engineering deliverables
Apply consistent, evidence-based judgment to make assessments reproducible and defensible
Receive structured feedback from senior reviewers and iterate on submitted work
Train and evaluate frontier AI models
Collaborate with leading researchers on projects that train and enhance AI systems
Requirements
4+ years of professional data science, data engineering, or machine learning experience
Experience at a leading technology or quantitative firm, top financial institution, top-tier consulting firm, or Fortune 100 company in qualifying senior roles
Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference
Ability to turn messy real-world data into rigorous analyses and reliable pipelines
Excellent written English and ability to explain technical findings clearly
Bachelor's degree from an English-speaking country
Detail-oriented and consistent approach to evaluating complex work
Comfortable receiving feedback and calibrating judgment against set standards
Must not be an H1-B or STEM OPT candidate
Independent contractor engagement
Benefits
Fully remote role
Flexible own schedule
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or concluded early depending on needs and performance
Competitive pay
Collaboration with leading researchers
Opportunity to help shape the next generation of AI systems
Referral compensation of up to $720 per successful referral
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