Data Scientist & AI/ML Specialist

Mercor; Remote; EUR 80.000 - 100.000; Teilzeit

Zusammenfassung

A leading AI research company is looking for a Data Scientist to develop data collection pipelines and build machine learning models. Candidates should have a strong background in data science, proficiency in Python and SQL, and experience with large-scale data systems. This remote position involves working collaboratively to improve AI systems. Compensation includes hourly pay and weekly bonuses based on tasks created. Apply today for a chance to join this innovative team.

Qualifikationen

• Strong background in data science, machine learning, or applied statistics.
• Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
• Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
• Experience with large-scale data systems.
• Ability to collect, clean, and transform complex datasets into structured formats.

Aufgaben

• Develop data collection and preprocessing pipelines from multiple simulations.
• Build and iterate on machine learning models for various predictions.
• Design and maintain dashboards and visualization tools.
• Conduct statistical analyses to evaluate AI systems.
• Collaborate with engineers on evaluation frameworks.
• Prototype data-driven tools to improve model accuracy.

Kenntnisse

Data science

Machine learning

Applied statistics

Python

SQL

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Tools

Snowflake

BigQuery

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

Type: Hourly contractor

Compensation: $14/hour

Location: Remote

Commitment: 20–40 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.
• Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
• Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
• Experience with large-scale data systems (Snowflake, BigQuery, or similar).
• Ability to collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.

Preferred

• Interest in AI agents and how data can shape their reasoning, adaptability, and behavior.
• Enjoy collaborating with cross-functional teams to define meaningful KPIs and experiment setups.

Compensation & Legal

• Hourly contractor to Mercor.
• Paid weekly via Stripe Connect, based on hours logged.
• Weekly bonus of $500 - $1000 USD per 5 tasks created.

Application Process (Takes 20–30 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: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.