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Data Scientist (Masters) - AI Data Trainer
Data Scientist (Masters) - AI Data TrainerAlignerr • Edmonton, Division No. 11, CA
Data Scientist (Masters) - AI Data Trainer

Data Scientist (Masters) - AI Data Trainer

Alignerr • Edmonton, Division No. 11, CA
Il y a 2 jours
Type de contrat
  • Temps plein
Description de poste

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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