Data Scientist (Masters)

Role: Data Scientist (Masters) — AI Data Trainer

Type: Hourly Contract (10–40 hours/week)
Location: Fully remote (United States listed)

What you’ll do

• Design advanced challenges: Create complex, domain-rich data science problems covering topics such as hyperparameter optimization, Bayesian inference, cross-validation, and dimensionality reduction.
• Author ground-truth solutions: Produce rigorous step-by-step reference solutions, including Python/R scripts, SQL queries, and mathematical derivations that act as definitive benchmarks.
• Audit AI-generated code: Evaluate model outputs for technical accuracy, efficiency, and correctness using libraries such as scikit-learn, PyTorch, and TensorFlow.
• Identify and document failure modes: Detect issues like data leakage, overfitting, and mishandling of imbalanced datasets, then provide structured, actionable feedback.
• Refine model reasoning: Iteratively improve analytical rigor across the data science pipeline based on AI outputs.

Who you are

• Currently pursuing or holding a Master’s or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong data analysis emphasis.
• Strong foundations in supervised/unsupervised learning, deep learning, and big data (e.g., Spark/Hadoop) or NLP.
• Clear technical communication of algorithmic logic, statistical results, and mathematical derivations.
• Detail-oriented when reviewing code syntax, mathematical notation, and statistical validity.
• Self-directed and comfortable working independently in an async, remote environment.
• No prior AI industry experience required; no prior AI/data annotation experience required.

Nice to have

• Experience with data annotation, data quality assurance, or evaluation systems.
• Familiarity with production-level data science workflows (e.g., MLOps, CI/CD, experiment tracking).
• Experience with model evaluation frameworks or benchmark design.

Why join

• Work on frontier AI initiatives alongside leading research labs.
• Fully remote with flexible hours and task-based freelance autonomy.
• Possible ongoing contract renewals as new projects launch.