We are looking for an experienced Senior Data Scientist for a short-term, high-impact project involving LLM evaluation and advanced data workflows. The Essentials Duration: 1–2 months (potential for extension). Commitment: 20+ hours per week (flexible hours, completed on your own schedule). Context: Supplemental income / "Side-gig" friendly. Fully remote Rate : $200 per task completed. (Task durations = 1-3 hours max) What You’ll Do Design and run A/B experiments and evaluate model behavior. Build/audit data workflows and pipelines (dbt, SQL). Analyze datasets and communicate findings for data-driven decisions. Work with LLM benchmarking and agentic coding workflows. What You Need 4+ years professional experience in DS, ML, or Data Engineering. Expert Python (pandas, NumPy, scikit-learn) and SQL. Proven ability to diagnose ML failure modes and improve model quality. Familiarity with cloud warehouses (Snowflake, BigQuery, or Redshift). Why this role? This is a flexible, remote engagement perfect for those looking to contribute to cutting-edge AI research and work with top-tier industry labs without the commitment of a full-time product role.