Analysis Skills, Artificial Intelligence (AI), Benchmarking, Best Practices, Communication Skills, Data Analysis, Data Science, Machine Learning, Research Laboratory, Statistical Modeling, Statistics, Training Data Sets, Writing Skills
LOCATION
San Francisco, California
POSTED
10 days ago
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: Data Science Experts Type:Contract Compensation:$70–$100/hour Location:Remote Commitment:40 hours/week
Role Responsibilities
Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
Design challenging data science tasks and write accurate, well-structured analytical solutions.
Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.
Preferred
Prior experience with data annotation, labeling, evaluation, or human feedback collection.
Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.
Compensation & Legal
W-2 employment with Cincinnatus LLC.
Application Process (Takes 20–30 mins to complete)
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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.