Data Scientist (Masters)

Alignerr Corp.; Deutschland; Remote; EUR 55,000 - 103,000; Part time

Benefits offered by this job

Fully remote

Async work schedule

High contractor autonomy

Potential contract renewals

Job summary

Alignerr is seeking a Data Scientist (Masters) to design advanced AI data-trainer challenges, author rigorous reference solutions with Python/R and SQL, and audit AI-generated code for correctness and efficiency. This remote contract role emphasizes deep expertise in ML, statistics, and data engineering, with flexible 10–40 hours per week.

Ideal candidates hold a Master’s or PhD in a quantitative field, fluency in supervised/unsupervised learning, and experience with PyTorch, TensorFlow, and big

Qualifications

• Masters or PhD in data science, statistics, CS, or a quantitative field.
• Strong foundation in ML, statistics, and data engineering concepts.
• Ability to design rigorous data science challenges and solutions.
• Excellent communication of algorithmic results in writing.

Responsibilities

• Design Advanced Challenges spanning hyperparameter optimization, Bayesian inference, cross-validation, and dimensionality reduction
• Author ground-truth solutions with Python/R, SQL, and derivations
• Audit AI-generated code for accuracy and efficiency
• Provide structured feedback to improve model performance

Skills

Supervised learning

Unsupervised learning

Deep learning

NLP

Big data technologies (Spark/Hadoop)

Education

Master's degree in Data Science

Master's or PhD in Statistics/Computer Science

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

Data Scientist (Masters) — AI Data Trainer

About The Role

What if your hard-earned expertise in 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 scientists with graduate-level training to help stress-test and improve cutting-edge AI models — designing challenges that expose their limits, authoring rigorous solutions that set the standard, and auditing AI-generated code for correctness and efficiency.

This is a fully remote, flexible contract role. No prior AI industry experience needed — just deep, demonstrable expertise in data science and a sharp analytical mind.

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

What You'll Do

• Design Advanced Challenges — Craft complex, domain-spanning data science problems across areas like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction
• 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
• Audit AI-Generated Code — Evaluate outputs from libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
• Sharpen AI Reasoning — Identify logical failures in AI reasoning — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that meaningfully improves model performance

Who You Are

• Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis
• Strong foundational knowledge across core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
• Highly detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions before anyone else does
• No prior AI or data annotation experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with production-level data science workflows — MLOps, CI/CD for models, model monitoring
• Exposure to LLM evaluation or prompt engineering workflows

Why Join Us

• Work directly with industry-leading AI research labs on cutting-edge model development
• Fully remote and async — work on your own schedule, from anywhere in the world
• High contractor autonomy with meaningful, intellectually stimulating work
• Direct engagement with state-of-the-art large language models
• Potential for ongoing contract renewals as new projects launch