Senior Data Scientist for Advanced LLM Workflow

Job ID: 40344039

Budget: $50 – $0 USD

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.