Remote Data Science & AI Benchmark Architect

Alignerr Corp.; United Kingdom; Remote; GBP 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Data Science Expert – AI Content Specialist to stress-test language models, craft gold-standard solutions, and push AI reasoning to new levels. This remote, hourly-contract role emphasizes domain‑specific data science problems, rigorous responses, and thorough evaluation of model outputs.

The ideal candidate holds an advanced degree in a quantitative field, with strong ML, NLP, and big data knowledge, and the ability to clearly communicate complex results in writing.

Qualifications

• Master's or PhD in a quantitative field required or highly preferred.
• Strong knowledge of ML methods and AI evaluation.
• Ability to document complex results clearly in writing.
• Experience with large language models is a plus.

Responsibilities

• Design advanced challenges for ML models spanning hyperparameter optimization, Bayesian inference, and cross‑validation.
• Author ground‑truth solutions with code, SQL queries, and mathematical derivations as golden benchmarks.
• Audit AI-generated code for correctness, efficiency, and best practices across libraries.
• Refine AI reasoning by identifying failure modes and documenting structured feedback to improve model logic.
• Document model weaknesses across ML theory, neural architectures, and data pipelines.

Skills

Supervised Learning

Unsupervised Learning

Deep Learning

NLP

Big Data (Spark/Hadoop)

Python/R

Model Evaluation

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Scikit-Learn

PyTorch

TensorFlow

Job description

Alignerr is seeking a Data Science Expert – AI Content Specialist to stress-test language models, craft gold-standard solutions, and push AI reasoning to new levels. This remote, hourly-contract role emphasizes domain‑specific data science problems, rigorous responses, and thorough evaluation of model outputs.

The ideal candidate holds an advanced degree in a quantitative field, with strong ML, NLP, and big data knowledge, and the ability to clearly communicate complex results in writing.