Part-Time Data Analyst (Mac) for AI Research & Spreadsheets

Mercor; San Francisco (CA); Remote; USD 34,000 - 48,000; Part time

Job summary

Mercor is seeking data analysts and spreadsheet specialists for a research project with a leading AI lab. You will work 10-20 hours weekly on real data analysis workflows using a Mac, benchmarking and improving AI models.

The role emphasizes clear reasoning, strong communication, and hands-on data tasks. Ideal candidates are pursuing a Masters or have 2-3 years of relevant experience plus a Bachelor's from a prestigious institution, with advanced spreadsheet skills and familiarity with SQL or BI

Qualifications

• Own a MacBook or Mac with M-series/Intel, macOS 15+, required.
• Advanced proficiency in Excel, Numbers, and/or Google Sheets (pivot tables, lookups, charts, data cleaning).
• Experience with SQL, Python/R, or BI tools (Tableau, Power BI) is a plus.
• Pursuing Masters or 2-3 years of relevant experience + Bachelor from a prestigious institution.

Responsibilities

• Part-time commitment of approximately 10-20 hours per week.
• Complete and narrate real data analysis and spreadsheet tasks on your Mac to create high-quality training data for advanced AI models.
• Responsibilities are clearly structured with no high-pressure internship or full-time consult­ing expectations.
• Immediate start preferred.

Skills

Pivot tables

Data cleaning

Communication

Education

Masters studies or 2-3 years experience + Bachelor's

Tools

Tableau

Power BI

SQL

Python

R

Job description

Mercor is seeking data analysts and spreadsheet specialists for a research project with a leading AI lab. You will work 10-20 hours weekly on real data analysis workflows using a Mac, benchmarking and improving AI models.

The role emphasizes clear reasoning, strong communication, and hands-on data tasks. Ideal candidates are pursuing a Masters or have 2-3 years of relevant experience plus a Bachelor's from a prestigious institution, with advanced spreadsheet skills and familiarity with SQL or BI