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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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