Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Position: Multimodal Game Theory Type:Contract Compensation:$40/hour Location:Remote
Role Responsibilities
Evaluate the accuracy and depth of AI-generated content in Mathematics 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
Strong understanding of Mathematics.
Experience with AI model training and evaluation.
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.
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: Multimodal Game Theory Type: Contract Compensation: $40/h...
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Position: Multimodal Game Theory Type:Contract Compensation:$40/hour Location:Remote
Role Responsibilities
Evaluate the accuracy and depth of AI-generated content in Mathematics 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
Strong understanding of Mathematics.
Experience with AI model training and evaluation.
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.