Remote Data Science Expert – AI Model Auditor

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

Benefits offered by this job

Fully remote work

Freelance autonomy

Contract extension opportunities

Work with leading AI labs

Job summary

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to design and audit advanced AI problems. You will craft ground-truth solutions using Python/R, SQL, and mathematical derivations, and assess model outputs for accuracy and robustness.

This remote hourly contract offers 10–40 hours per week and the chance to work with leading AI research labs. Strong foundations in ML, NLP, and big data tools are expected, with independent, asynchronous collaboration.

Qualifications

• Master's or PhD in a quantitative field (data science, statistics, CS).
• Strong foundations in supervised/unsupervised learning and deep learning.
• Experience with big data tools such as Spark or Hadoop.
• Excellent written communication of complex algorithms and statistics.
• Self-motivated, independent and asynchronous work style.
• No prior AI annotation experience required.

Responsibilities

• Design advanced, domain-specific data science challenges.
• Author ground-truth solutions with Python/R, SQL, and derivations.
• Audit AI-generated code for correctness and efficiency.
• Refine AI reasoning by identifying data leakage or overfitting.
• Document failure modes across inference, architectures, and pipelines.

Skills

ML fundamentals

NLP knowledge

Python/R scripting

Communication of complex concepts

Independent / async work

Big data tools (Spark/Hadoop)

Education

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

Tools

Scikit-learn

PyTorch

TensorFlow

Job description

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to design and audit advanced AI problems. You will craft ground-truth solutions using Python/R, SQL, and mathematical derivations, and assess model outputs for accuracy and robustness.

This remote hourly contract offers 10–40 hours per week and the chance to work with leading AI research labs. Strong foundations in ML, NLP, and big data tools are expected, with independent, asynchronous collaboration.