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Data Science Expert - AI Content Specialist

Job in Vancouver, BC, Canada
Listing for: Alignerr
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 40 - 80 CAD Hourly CAD 40.00 80.00 HOUR
Job Description & How to Apply Below
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 Science Expert - AI Content Specialist

Type
Hourly Contract

Compensation
US $40–$80 /hour

Commitment
10–40 hours/week

What You’ll Do

Develop Complex Problems:
Design advanced data science challenges across domains such as 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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