Alignerr

Data Scientist (Masters)

Company : Alignerr

Location : Rolling Meadows, IL

Job Type : Full Time

Date Posted : 4 July 2026

Data Scientist (Masters) - AI Data Trainer

Location: Remote

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.

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.

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.