Remote Data Scientist: AI Evaluation & Scoring Expert

mercor; United States; A distancia; USD 138.000 - 207.000; A tiempo parcial

Descripción de la vacante

Mercor, a San Francisco-based AI talent firm, is seeking a Data Scientist for a contract engagement. This remote role focuses on evaluating data science deliverables, building robust criteria, and providing transparent justifications to support reproducible assessments.

You will collaborate asynchronously, apply Python and SQL to real-world datasets, and contribute to model performance improvements while meeting deadlines.

Formación

• 1+ years of professional data science experience.
• Experience at a leading technology, research, or quantitative firm.
• Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
• Exceptional written communication skills.
• Detail-oriented and consistent approach to evaluating complex work.
• Comfort receiving feedback and calibrating judgment against established standards.

Responsabilidades

• Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
• Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
• Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
• Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Conocimientos

Python

SQL

Statistical modeling

Machine learning

Experimentation

Written communication

Descripción del empleo

Mercor, a San Francisco-based AI talent firm, is seeking a Data Scientist for a contract engagement. This remote role focuses on evaluating data science deliverables, building robust criteria, and providing transparent justifications to support reproducible assessments.

You will collaborate asynchronously, apply Python and SQL to real-world datasets, and contribute to model performance improvements while meeting deadlines.