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Data Scientist; Masters - AI Data Trainer

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Alignerr
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 40 - 80 USD Hourly USD 40.00 80.00 HOUR
Job Description & How to Apply Below
Position: Data Scientist (Masters) - AI Data Trainer

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 Tensor Flow), 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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