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Lead Data Scientist | Max $160/hr

Mercor

India · Hybrid Part-time $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
    • 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

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

Requirements

  • 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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