Data Science Specialist - Fully Remote

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)

• 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.