Data Science Expert - AI Content Specialist

• 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 Science Expert - AI Content Specialist 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.