Data Scientist (Masters) - AI Data Trainer

Alignerr
Cambridge
2 days ago
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Data Scientist (Masters) - AI Data Trainer

Alignerr, Cambridge, England, United Kingdom


Base pay range: $40.00/hr – $80.00/hr


Location: Remote. Hourly contract, 10–40 hours/week.


About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.


You’ll challenge advanced language models on topics such as machine learning theory, statistical inference, neural network architectures, and data engineering pipelines, documenting every failure mode so we can harden model reasoning.


What You’ll Do

  • Design advanced data science challenges across domains such as hyperparameter optimization, Bayesian inference, cross‑validation strategies, and dimensionality reduction.
  • Create rigorous, step‑by‑step technical solutions—including Python/R scripts, SQL queries, and mathematical derivations—that serve as "golden responses".
  • Evaluate AI‑generated code (using libraries such as Scikit‑Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
  • Identify logical fallacies in AI reasoning—such as data leakage, overfitting, or improper handling of imbalanced datasets—and provide structured feedback to improve the model’s "thinking" process.

Requirements

  • Advanced degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
  • Domain expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
  • Excellent analytical writing skills to communicate highly technical algorithmic concepts and statistical results clearly and concisely.
  • High attention to detail when checking code syntax, mathematical notation, and statistical conclusions.
  • No AI experience required.

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems.
  • Proficiency in production‑level data science workflows (e.g., MLOps, CI/CD for models).

Why Join Us

  • Excellent compensation with location‑independent flexibility.
  • Direct engagement with industry‑leading LLMs.
  • Contractor advantages: high agency, agility, and international reach.
  • More opportunities for contracting renewals.

Application Process

  1. Submit your resume.
  2. Complete a short screening.
  3. Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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