Posted
15 Aug 2026
Last seen
15 Aug 2026
Location
Germany
Lifecycle
evergreen
Grade
D
About the jobMercor 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: Data Scientist Talent NetworkType:ContractCompensation:$100–$150/hourLocation:RemoteRole Responsibilities
Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
Work independently and asynchronously to meet deadlines and improve AI model performance.
QualificationsMust-Have
1+ years of professional data science experience.
Experience at a leading technology, research, or quantitative firm.
Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
Exceptional written communication skills.
Detail-oriented and consistent approach to evaluating complex work.
Comfort receiving feedback and calibrating judgment against established standards.
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:
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.Originally posted on Himalayas
Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
Work independently and asynchronously to meet deadlines and improve AI model performance.
QualificationsMust-Have
1+ years of professional data science experience.
Experience at a leading technology, research, or quantitative firm.
Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
Exceptional written communication skills.
Detail-oriented and consistent approach to evaluating complex work.
Comfort receiving feedback and calibrating judgment against established standards.
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:
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.Originally posted on Himalayas