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Data Scientist – Remote Role

Mercor

Remote · Germany $ 100 – $ 160/hr 1w ago

About the role

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

Contract

Compensation

$100–$160/hour

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content in Quant Trading, Bioinformatics, and Astrophysics to strengthen reasoning and rigor in model outputs.
  • Review complex mathematical content for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated mathematical tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD or Master's in a related field.
  • Experience in Quant Trading, Bioinformatics, Astrophysics, or Applied Computational Mathematics.
  • Proficiency with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

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

Requirements

  • PhD or Master's in a related field.
  • Experience in Quant Trading, Bioinformatics, Astrophysics, or Applied Computational Mathematics.
  • Proficiency with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools.

Responsibilities

  • Evaluate the accuracy and depth of AI-generated content in Quant Trading, Bioinformatics, and Astrophysics to strengthen reasoning and rigor in model outputs.
  • Review complex mathematical content for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated mathematical tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

AWSAzureBigQueryDatabricksGoogle ColabSnowflake

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