Company Introduction
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 .
Role Overview
- Position : Data Science Professional – Freelance, Remote
- Commitment : 15–25 hours / week, flexible up to 40 hours / week
- Duration : 1–2 months
- Support high-impact research collaborations with leading AI labs. Improve AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking.
Responsibilities
Review and refine AI-generated prompts, responses, and codeValidate concepts for technical accuracyProvide structured feedback on solution quality and clarityTag and organize content by topic and difficultySupport benchmarking efforts to assess model capabilitiesRequirements / Qualifications
Must-Have Qualifications
3+ years of experience in data science, machine learning, or applied statisticsDegree in Data Science, Statistics, Computer Science, Applied Mathematics, or related fieldStrong proficiency in Python and SQLHands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorchExperience with statistical analysis, data wrangling, and feature engineering on large datasetsPreferred Qualifications
Advanced degree in a related quantitative fieldFamiliarity with R, Java, or ScalaEngagement Details
Start Date : ImmediateCompensation : $80–$120 USD / hr, competitive hourly rate based on experienceContract : Independent contractorPayment : Daily via Stripe ConnectSchedule : Fully remote and asynchronousApplication Process
Upload resumeAI interview : A short, 15-minute conversational session to understand your background, experience, and interest in the roleFollow-up communication within a few days with next steps and onboarding detailsApply through Mercor to shape frontier AI research.
Skills Required
Tensorflow, data wrangling , Pytorch, Sql, Python, Statistical Analysis