Data Science Expert

Alignerr; Remote; USD 80,000 - 100,000; Part time

Job summary

A leading AI research firm seeks a Data Science Expert - AI Content Specialist. You will design advanced data science challenges, create rigorous solutions, and evaluate AI-generated code for accuracy. The ideal candidate should hold an advanced degree in a quantitative field and possess strong analytical writing and attention to detail skills. This is an hourly contract position offering competitive compensation and remote work flexibility.

Benefits

Excellent compensation

Location-independent flexibility

High agency and agility

Opportunities for contracting renewals

Qualifications

• Masters or PhD in a quantitative field with data analysis emphasis.
• Strong knowledge in supervised/unsupervised learning and deep learning.
• Ability to communicate technical concepts clearly.

Responsibilities

• Design advanced data science challenges across domains.
• Create detailed technical solutions including scripts and solutions.
• Evaluate AI-generated code for accuracy and efficiency.
• Identify logical fallacies in AI reasoning and provide feedback.

Skills

Data analysis

Statistical inference

Machine learning theory

Analytical writing

Attention to detail

Education

Masters or PhD in Data Science, Statistics, Computer Science

Tools

Scikit-Learn

PyTorch

TensorFlow

Job description

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.