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.
Author review and annotate technical tasks to evaluate AI model performance on computer science problems.
Produce original problem sets grounded in performance benchmarkssystem architecture charts and algorithmic complexity figures.
Write reference solutions and apply structured quality checks to ensure task accuracy.
Collaborate with AI research teams to improve training data quality and model outputs.
Work independently and asynchronously with a flexible schedule to meet deadlines.
Qualifications
Must-Have
PhD in Computer Science or MS in CS with 3 years engineering research or teaching experience or BS in CS with 5 years software engineering systems or applied CS practice.
Working fluency in at least two of: algorithmssystemsdatabasesnetworksMLtheory of computation.
Comfortable reading and interpreting performance benchmarkssystem architecture charts and algorithmic complexity figures.
Clear technical writing; able to articulate reasoning step-by-step in written form.
Compensation & Legal
Hourly contractorPaid weekly via Stripe Connect.
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: Computer Science Chart Analysis Expert Type: Contract Com...
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.
Author review and annotate technical tasks to evaluate AI model performance on computer science problems.
Produce original problem sets grounded in performance benchmarkssystem architecture charts and algorithmic complexity figures.
Write reference solutions and apply structured quality checks to ensure task accuracy.
Collaborate with AI research teams to improve training data quality and model outputs.
Work independently and asynchronously with a flexible schedule to meet deadlines.
Qualifications
Must-Have
PhD in Computer Science or MS in CS with 3 years engineering research or teaching experience or BS in CS with 5 years software engineering systems or applied CS practice.
Working fluency in at least two of: algorithmssystemsdatabasesnetworksMLtheory of computation.
Comfortable reading and interpreting performance benchmarkssystem architecture charts and algorithmic complexity figures.
Clear technical writing; able to articulate reasoning step-by-step in written form.
Compensation & Legal
Hourly contractorPaid weekly via Stripe Connect.
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.