Data Science Expert - AI Content Specialist

Alignerr Corp.; United States; Remote; AUD 138,000 - 237,000; Part time

Job summary

Alignerr is seeking a Data Science Expert – AI Content Specialist to stress-test and audit cutting-edge AI models on a remote, flexible schedule. You’ll design challenging data science problems and author rigorous solutions, using Python/R and SQL while evaluating model behavior with modern ML libraries.

This high-impact contract role thrives on intellectual rigor and independence, with opportunities for ongoing project renewals. Remote, international reach, 10–40 hours per week.

Qualifications

• Pursuing a Master's or PhD in data-related field.
• Strong knowledge in supervised/unsupervised learning, NLP, and big data tech.
• Clear written communication of algorithms and stats.
• Detail-oriented with focus on data correctness.
• No prior AI annotation experience required.

Responsibilities

• Design advanced domain-specific data science challenges.
• Author ground-truth solutions with Python/R, SQL, and derivations.
• Audit AI-generated code for correctness and efficiency.
• Refine AI reasoning by identifying data leakage and overfitting.
• Manage workload asynchronously with minimal supervision.

Skills

Data Science

Machine Learning

Big Data

NLP

Education

Master's or PhD in DS

Tools

Scikit-Learn

PyTorch

TensorFlow

SQL

Spark

Job description

Data Science Expert – AI Content Specialist

About The Role

What if your expertise in machine learning, statistical modeling, and data engineering could directly shape how the world's most advanced AI systems think and reason? We're looking for Data Science Experts to stress-test, audit, and improve cutting-edge AI models — working remotely on your own schedule alongside leading AI research labs.

This is a high-impact contract role for data scientists who love intellectual rigor and want their knowledge to leave a lasting mark on AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Challenges — Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative reference answers
• Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing correctness, efficiency, and best practices
• Refine AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback to improve model behavior
• Work Independently — Manage your own workload asynchronously, contributing meaningfully without rigid schedules

Who You Are

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
• Detail-oriented — you catch errors in code syntax, mathematical notation, and statistical reasoning
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with production-level data science workflows such as MLOps or CI/CD pipelines for models
• Background in academic or applied research with a track record of rigorous technical writing

Why Join Us

• Work directly with industry-leading large language models and cutting-edge AI research
• Fully remote and flexible — contribute on a schedule that works for you
• Freelance autonomy with meaningful, intellectually stimulating work
• High-agency contractor environment with international reach
• Potential for ongoing contract renewals as new projects launch