Data Scientist (Masters) - AI Data Trainer

Alignerr
Christchurch
3 weeks ago
Applications closed

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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.


  • Location: Remote

Organization

Alignerr


Position

Data Scientist (Masters) – AI Data Trainer


Type

Hourly Contract


Compensation

$40–$80 /hour


Location

Remote


Commitment

10–40 hours/week


What You’ll Do

  • Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross‑validation strategies, and dimensionality reduction.
  • Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses."
  • Technical Auditing: Evaluate AI‑generated code (using libraries like scikit‑learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
  • Refine Reasoning: 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: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
  • Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of 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 (Takes 15‑20 min)

  • Submit your resume
  • Complete a short screening
  • 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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