Data Science Expert - AI Content Specialist

Alignerr Corp.; Christchurch; Teletrabalho; GBP 42 000 - 125 000; Tempo integral

Resumo da oferta

Alignerr is seeking a Data Science Expert – AI Content Specialist for a remote hourly contract. You will design complex data science problems, craft definitive solutions with Python/R and SQL, and audit AI model outputs for correctness and efficiency.

You will communicate technical concepts clearly and work independently on tasks with flexible scheduling. The role emphasizes rigorous mathematical derivations, exposure to ML/NLP systems, and an opportunity for ongoing collaboration on

Qualificações

• Advanced degree or in progress in a quantitative field.
• Strong foundation in ML, NLP and data analysis.
• Ability to write clear, reproducible Python/R/SQL work.

Responsabilidades

• Design advanced challenges spanning ML topics and NLP.
• Author rigorous, step-by-step ground-truth solutions with code.
• Audit AI outputs and provide structured feedback for improvement.
• Communicate findings clearly in writing and reports.

Conhecimentos

Data Science fundamentals

Machine Learning

NLP

Python

R

SQL

Big Data (Spark/Hadoop)

Communication writing

Independent work

Formação académica

Master's or PhD in Data Science or related field

Ferramentas

Scikit-Learn

PyTorch

TensorFlow

Python scripts

SQL queries

Descrição da oferta de emprego

Data Science Expert – AI Content Specialist

About The Role

What if your data science knowledge could directly shape the intelligence of tomorrow's most advanced AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting-edge language models — exposing their blind spots, correcting their reasoning, and setting the standard for what great data science looks like.

This is a fully remote, flexible contract role designed for experienced data scientists, statisticians, and ML practitioners who want to do 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 — Develop complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive "gold standard" responses
• Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
• Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that improves how models think

Who You Are

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
• Strong foundational knowledge across core areas: supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic and statistical concepts clearly and concisely in writing
• Highly precise when reviewing code syntax, mathematical notation, and statistical conclusions
• Self-motivated and reliable when working independently on task-based assignments
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Proficiency in production-level data science workflows such as MLOps or CI/CD for models
• Familiarity with prompt engineering or working alongside AI systems

Why Join Us

• Work directly with industry-leading AI language models at the frontier of AI research
• Fully remote and async — work when and where you perform best
• Freelance autonomy with the structure of meaningful, technically challenging work
• Contribute to AI development that has a real impact on how these systems reason about data science
• Potential for ongoing work and contract extension as new projects launch