Data Scientist

Senior Data Scientist : AI Training Data (2-4 Months Contract)

Company : BespokeLabs (VC-backed; founded by IIT & Ivy League alumni)

Location : Remote

Role Type : Contract (2-4 Months)

Time Commitment : 40 hrs / week (Full-time availability required)

Compensation : Hyper-competitive hourly rate (matching top-tier Senior Data Scientist bands) Experience : 6+ years

About BespokeLabs

BespokeLabs is a premier, VC-backed AI Research lab with an exceptionally talent-dense team of IIT and Ivy League alumni. We don’t just build tooling around AI—we build the massive-scale data systems and reasoning architectures that directly power next-generation models. Our research shapes the frontier of AI : we’ve published breakthroughs like GEPA, driven foundational datasets like OpenThoughts, and shipped state-of-the-art models including Bespoke-MiniCheck and Bespoke-MiniChart. More on our website bespokelabs.ai : )

Role Overview

We are looking for a high-impact Senior Data Scientist for an intensive, 2-month sprint. You will leverage your deep expertise in production-grade machine learning and applied statistics to develop the algorithms and logic that curate and evaluate datasets for advanced AI model training.

This is not a traditional model-building or research role. We need a seasoned practitioner who has already owned the end-to-end DS lifecycle at scale. You will use your intuition for feature engineering, statistical validity, and large-scale data processing to programmatically generate, shape, and validate AI training data.

What You Will Do (The Contract)

• Algorithm Design : Design and implement custom statistical models and programmatic logic (e.g., anomaly detection, active learning, similarity scoring) to evaluate data quality, complexity, and redundancy at scale.
• Hands-on At-Scale Coding : Write scalable PySpark and Python (NumPy / Pandas) code to apply these algorithms across massive datasets, translating experimental logic into reliable, large-scale workflows.
• Metric Formulation : Develop custom quantitative metrics and heuristic benchmarks to rigorously assess the fidelity and suitability of data subsets for specific AI training objectives.
• Validation & Iteration : Run high-speed validation cycles, analyzing the output of data-curation algorithms to diagnose skew, bias, or noise, and iteratively refining the logic.
• High-Level Curation : Apply Senior-level domain expertise in predictive modeling and feature engineering to ensure the final training inputs meet the strict standards required for state-of-the-art ML systems.

What You Bring to the Table (Your Past Experience)

To be successful in this contract, you must have a track record of :

Required Qualifications (Non-Negotiable)

Core Technical Skills

Strong Signals (Highly Valued)

Out of Scope (Who Should Not Apply)