Data Science Expert - AI Content Specialist

Alignerr Corp.; Mumbai; Remote; INR 5,334,000 - 13,336,000; Full time

Job summary

Alignerr is seeking a Data Science Expert to stress-test, evaluate, and refine cutting-edge AI models. This remote hourly contract invites you to design challenges, author solutions, and audit AI-generated code on your own schedule.

You will work with leading AI labs to probe limits of reasoning, expose data leakage, and improve model trustworthiness through rigorous statistical analysis and clear technical documentation.

Qualifications

• Advanced degree or pursuing a quantitative field with strong data analysis focus.
• Solid foundations in supervised and unsupervised learning, deep learning, big data or NLP.
• Strong ability to communicate complex algorithms and statistics clearly in writing.
• High precision in reviewing code syntax and statistical conclusions.

Responsibilities

• Design advanced challenges spanning hyperparameter optimization and Bayesian inference.
• Author ground-truth solutions with Python/R scripts, SQL queries, and derivations.
• Audit AI-generated code for correctness and efficiency across ML libraries.
• Document failure modes and provide feedback to improve model reasoning.

Skills

Domain knowledge

Technical writing

Detail-oriented

Education

Masters/PhD

Tools

Spark/Hadoop

NLP

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Science Expert - AI Content Specialist

What if your deep knowledge of machine learning and statistical modeling could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and refine cutting-edge AI models - working remotely on your own schedule alongside leading AI research labs.

This is a rare opportunity to do genuinely meaningful technical work: not just using AI, but making it smarter, more accurate, and more trustworthy.

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

What You'll Do

• Design Advanced Challenges - Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more - specifically designed to probe and expose the limits of AI reasoning.
• Author Ground-Truth Solutions - Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers for model training.
• Audit AI-Generated Code - Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices.
• Refine AI Reasoning - Identify and document failure modes such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that directly improves how models think and respond.

Who You Are

• Advanced Degree - Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a related quantitative field with a strong focus on data analysis.
• Deep Domain Knowledge - Solid foundations in supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
• Strong Technical Writer - Able to communicate complex algorithmic concepts and statistical reasoning clearly and precisely in written form.
• Detail-Oriented - High level of precision when reviewing code syntax, mathematical notation, and the validity of statistical conclusions.
• No prior AI training experience required - your data science expertise is what matters.

Nice to Have

• Experience with data annotation, data quality assurance, or model evaluation systems
• Familiarity with production-level data science workflows such as MLOps or CI/CD pipelines for models

Why Join Us

• Work directly on frontier AI models used by leading research labs worldwide
• Fully remote - work from anywhere, on a schedule that fits your life
• Freelance flexibility with consistent, meaningful technical work
• High autonomy and ownership over the quality of your contributions
• Potential for ongoing contract renewals as new projects launch