Data Scientist; Masters - AI Data Trainer

Data Scientist (Masters) - AI Data Trainer

Apply for the Data Scientist (Masters) - AI Data Trainer role at Alignerr
.

$40.00/hr – $80.00/hr

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

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

• 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.

• 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.

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

• 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.

• 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.