Data Science Expert - AI Content Specialist

Alignerr; Ireland; A distancia; EUR 83.000 - 152.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible hours

Descripción de la vacante

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to stress-test and train state-of-the-art language models on complex data science problems.

The role is fully remote and on an hourly contract, with 10–40 hours per week, offering flexible scheduling and collaboration with leading AI research labs. The candidate will design rigorous challenges, author gold-standard solutions, and audit AI outputs across major ML libraries while iterating on model reasoning and failure modes.

Formación

• Advanced degree in Data Science, Statistics, Computer Science, or a quantitative field (Master's pursuing/completed or PhD).
• Strong analytical writing skills with ability to translate complex concepts.
• Exceptional attention to detail in code, math notation, and results.

Responsabilidades

• Design advanced data science problems spanning hyperparameter optimization and Bayesian inference.
• Author ground-truth solutions with Python/R scripts and SQL queries.
• Audit AI-generated code across Scikit-Learn, PyTorch, and TensorFlow for accuracy and efficiency.
• Refine AI reasoning by identifying data leakage, overfitting, and imbalanced datasets.
• Document failure modes to help research teams harden model behavior.

Conocimientos

Analytical writing

Attention to detail

Independent work

Asynchronous collaboration

Educación

Advanced degree in Data Science / Statistics / CS or quantitative field (MS/PhD)

Herramientas

Python/R

Scikit-Learn/Torch/TensorFlow

SQL

Spark/Hadoop

NLP

Descripción del empleo

Data Science Expert – AI Content Specialist

About The Role

What if your deep knowledge of machine learning, statistical inference, 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 work alongside leading AI research labs, stress-testing and training cutting-edge language models on complex, real-world data science problems. Your expertise becomes the benchmark AI has to meet — and your feedback is what makes it smarter.

This is a fully remote, flexible contract role built for experienced data scientists and researchers who want meaningful, intellectually stimulating work on their own schedule.

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

What You'll Do

• Design Advanced Challenges: Create rigorous, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely push AI to its limits
• Author Ground-Truth Solutions: Develop comprehensive, step-by-step solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI evaluation
• Audit AI-Generated Code: Critically evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and best practices
• Refine AI Reasoning: Identify flawed logic in AI responses — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that directly improves model reasoning
• Document Failure Modes: Systematically capture edge cases and reasoning breakdowns to help research teams harden model behavior

Who You Are

• Advanced degree in Data Science, Statistics, Computer Science, or a quantitative field (Master's pursuing/completed or PhD)
• Deep domain expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Strong analytical writing skills — you can translate complex algorithmic concepts and statistical results into clear, precise written explanations
• Exceptional attention to detail — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Comfortable working independently and asynchronously
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or AI evaluation pipelines
• Familiarity with production-level data science workflows — MLOps, CI/CD for models, model monitoring
• Background in academic research or technical writing

Why Join Us

• Work directly with industry-leading AI research labs on genuinely frontier problems
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the intellectual depth of cutting-edge AI research
• Ongoing contract opportunities as new AI projects launch
• Make a measurable impact on how AI reasons about data science — at scale