Data Science Expert - Fully Remote

Mercor; Berlin; Remote; EUR 122.000 - 184.000; Vollzeit

Zusammenfassung

Mercor is seeking a Data Scientist for our Talent Network on a contract basis. This remote role requires strong data science fundamentals and clear written communication to evaluate work and justify scores.

You will design grading criteria, assess AI-generated and human submissions, and provide detailed, reproducible evaluations. Ideal candidates have 1+ years of experience and fluency in Python, SQL, modeling, and machine learning.

Qualifikationen

• 1+ years of professional data science experience.
• Experience at a leading technology, research, or quantitative firm.
• Strong command of Python, SQL, statistical modeling, and machine learning.
• Exceptional written communication skills for conveying technical findings.
• Detail-oriented and consistent approach to evaluating complex work.

Aufgaben

• Design precise, task-specific grading criteria for data science deliverables.
• Evaluate AI-generated or human-created work against established criteria to ensure quality and accuracy.
• Provide detailed written justifications for evaluations and scores to maintain transparency.
• Apply consistent, evidence-based judgment for reproducible and defensible assessments.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

Kenntnisse

Python

SQL

Statistical modeling

Machine learning

Exploratory data analysis

Written communication

Attention to detail

Jobbeschreibung

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 Talent Network
Type: Contract
Compensation: $100–$150/hour
Location: Remote

Role Responsibilities

• Design precise, task‑specific grading criteria for data science deliverables. This includes exploratory data analyses, statistical modeling work, machine learning pipelines, and technical reports.
• Evaluate AI-generated or human‑created work against established criteria to ensure quality and accuracy.
• Provide detailed written justifications for evaluations and scores to maintain transparency.
• Apply consistent, evidence‑based judgment for reproducible and defensible assessments.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

Qualifications

Must‑Have

• 1+ years of professional data science experience.
• Experience at a leading technology, research, or quantitative firm.
• Strong command of Python, SQL, statistical modeling, and machine learning.
• Exceptional written communication skills for conveying technical findings.
• Detail‑oriented and consistent approach to evaluating complex work.