Remote AI Data Trainer - Masters-Level Modeling Challenges

Alignerr; Cambridge; On-site; GBP 83,000 - 138,000; Part time

Job summary

Alignerr is seeking Masters- or PhD-level Data Scientists to challenge and improve cutting-edge AI models. You will design hard problems, author gold-standard solutions, and audit AI outputs with a deep understanding of ML, statistics, and data engineering.

This is a fully remote, flexible hourly contract with 10–40 hours per week. You should be proficient in Python, R, or SQL; familiar with Scikit-Learn, PyTorch, and TensorFlow; and able to clearly communicate complex results in writing.

Qualifications

• Pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science or a quantitatively focused field.
• Strong foundation in supervised and unsupervised learning, deep learning, and statistical modeling.
• Comfortable with Python, R, or SQL and standard data science libraries and frameworks.

Responsibilities

• Design Advanced Challenges — Craft complex, domain‑rich data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more
• Author Ground‑Truth Solutions — Build rigorous, step‑by‑step technical solutions — Python/R scripts, SQL queries, mathematical derivations — that serve as definitive golden responses for model training
• Audit AI‑Generated Code — Evaluate AI outputs using libraries like Scikit‑Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
• Identify Reasoning Failures — Catch subtle flaws in AI logic — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that sharpens model reasoning
• Work Independently — Complete task‑based assignments on your own schedule, fully asynchronously

Skills

Python

R

SQL

Statistics

Deep learning

Bayesian inference

Cross-validation

Dimensionality reduction

Education

Masters or PhD in Data Science or related field

Tools

Scikit-Learn

PyTorch

TensorFlow

Job description

Alignerr is seeking Masters- or PhD-level Data Scientists to challenge and improve cutting-edge AI models. You will design hard problems, author gold-standard solutions, and audit AI outputs with a deep understanding of ML, statistics, and data engineering.

This is a fully remote, flexible hourly contract with 10–40 hours per week. You should be proficient in Python, R, or SQL; familiar with Scikit-Learn, PyTorch, and TensorFlow; and able to clearly communicate complex results in writing.