Remote Data Analyst (SQL & Python) – $15/hr

About the role

We are looking for a remote Data Analyst with strong SQL and Python skills to design and execute multi‑agent benchmark tasks over a four‑week contract. You will work 30‑40 hours per week, ensuring a four‑hour overlap with Pacific Standard Time.

Key responsibilities

• Design and author benchmark tasks that simulate complex data‑analysis workflows.
• Create realistic synthetic datasets or curate real‑world style data across finance, operations, security, and market analysis domains.
• Build tasks requiring cross‑referencing, anomaly detection, contradiction identification, and statistical computation across multiple sources.
• Develop decomposition guides that split analytical work among specialist sub‑agents.
• Write precise oracle logic or verification scripts to validate analytical conclusions.
• Set up reproducible evaluation environments using Python and Docker.
• Review performance signals to ensure clear separation between weaker and stronger agentic systems.
• Refine tasks to improve determinism, clarity, difficulty, and scoring quality.

Required profile

• Several years of experience in data analysis.
• Strong proficiency in SQL and Python (pandas, NumPy or similar).
• Hands‑on experience with messy real‑world datasets (CSV, JSON, logs, reports).
• Ability to design non‑trivial analytical questions with verifiable answers.
• Solid understanding of statistical concepts such as averages, distributions, outliers, and correlations.
• Familiarity with AI coding benchmark environments (e.g., SWE‑bench, Terminal‑Bench).
• Comfortable working independently in a remote setting.

Required skills

• SQL
• Python
• pandas
• NumPy
• Docker
• Data wrangling (CSV, JSON, logs)
• Statistical analysis
• Benchmark environment familiarity (SWE‑bench, Terminal‑Bench)

What we offer

• Short‑term 4‑week contract.
• $15 per hour (USD).
• Fully remote work with flexible schedule.
• Opportunity to shape benchmark tasks for advanced AI agents.