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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 DAngelo 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 Masters 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 2030 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: For any help or support reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Key Skills GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account Employment Type : Full Time Experience: years Vacancy: 1 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 DAngelo 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 Masters 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 2030 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: For any help or support reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Key Skills GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account Employment Type : Full Time Experience: years Vacancy: 1
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