
Finance Professor - AI Task Specialist
Mercor, New York, NY, United States
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:
Professors in Finance, Accounting, Law
Type:
W2 Employment
Compensation:
$55–$85/hour
Location:
Remote
Commitment:
30+ hours/week
Role Responsibilities
Design challenging, real-world domain-specific problems for
agentic tasks . Target core capability loss failures in frontier
AI models .
Integrate problems into an
Agentic development environment
using
Python . Prepare detailed instructions, overviews, and golden solutions.
Evaluate cross-model performance on tasks. Analyze and classify failures as logical reasoning gaps.
Identify tasks where the model fails all tests. Extract core capability loss patterns from agent trajectories.
Collaborate with domain experts to guide the next generation of frontier
AI tools .
Qualifications
Must-Have
Current or retired professor in Finance, Accounting, Law, etc.
Degree in finance, accounting, law, or relevant field.
Ability to engage reliably for at least
30 hours/week
during weekdays.
Basic ability to work independently and manage time.
Strong verbal and written communication skills.
Preferred
Experience in
AI training , model evaluation, and data annotation.
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
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.
#J-18808-Ljbffr
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:
Professors in Finance, Accounting, Law
Type:
W2 Employment
Compensation:
$55–$85/hour
Location:
Remote
Commitment:
30+ hours/week
Role Responsibilities
Design challenging, real-world domain-specific problems for
agentic tasks . Target core capability loss failures in frontier
AI models .
Integrate problems into an
Agentic development environment
using
Python . Prepare detailed instructions, overviews, and golden solutions.
Evaluate cross-model performance on tasks. Analyze and classify failures as logical reasoning gaps.
Identify tasks where the model fails all tests. Extract core capability loss patterns from agent trajectories.
Collaborate with domain experts to guide the next generation of frontier
AI tools .
Qualifications
Must-Have
Current or retired professor in Finance, Accounting, Law, etc.
Degree in finance, accounting, law, or relevant field.
Ability to engage reliably for at least
30 hours/week
during weekdays.
Basic ability to work independently and manage time.
Strong verbal and written communication skills.
Preferred
Experience in
AI training , model evaluation, and data annotation.
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
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.
#J-18808-Ljbffr