Data Science Specialist - Fully Remote

mercor; United States; Remote; USD 96,000 - 138,000; Part time

Job summary

Mercor is seeking a Data Science Expert for a remote, contract engagement. You will guide research and engineering teams on data science methodologies, statistical inference, and modeling best practices, working 40 hours per week.

You will design challenging data science tasks, write analytical solutions, and evaluate AI-driven work. Collaboration with other experts will ensure training data quality and rigorous statistical reasoning across projects.

Qualifications

• 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.

Responsibilities

• Guide 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.

Skills

Data science

Data analysis

Statistical modeling

Applied machine learning

Tools

LLMs

AI systems

Agentic frameworks

Job description

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.