Data Scientist (Masters) - AI Data Trainer

Posted 1 day 14 hours ago by Data Freelance Hub

£29,742 - £59,484 Hourly
Permanent
Part Time
Training Jobs
Manchester, City, United Kingdom, M15 6SZ
Job Description
Data Scientist (Masters) - AI Data Trainer

Featured Role Apply direct with Data Freelance Hub

This role is a Data Scientist (Masters) - AI Data Trainer, offering a remote hourly contract for 10-40 hours/week at $40-$80/hour. Requires a Master's or PhD in a quantitative field, strong data science knowledge, and analytical writing skills.

Location: Remote

Compensation: $40-$80/hour

Commitment: 10-40 hours/week

What You'll Do
  • Develop Complex Problems: Design advanced data science challenges across domains such as hyperparameter optimization, Bayesian inference, cross validation strategies, and dimensionality reduction.
  • Author Ground Truth Solutions: Create rigorous, step by step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses".
  • Technical Auditing: Evaluate AI generated code (using libraries like Scikit Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as data leakage, overfitting, or improper handling of imbalanced datasets-and provide structured feedback to improve the model's "thinking" process.
Requirements
  • Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
  • Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
  • Analytical Writing: Ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.
  • No AI experience required.
Preferred
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Proficiency in production level data science workflows (e.g., MLOps, CI/CD for models).
Why Join Us
  • Excellent compensation with location independent flexibility.
  • Direct engagement with industry leading LLMs.
  • Contractor advantages: high agency, agility, and international reach.
  • More opportunities for contracting renewals.
Application Process (Takes 15-20 min)
  • Submit your resume.
  • Complete a short screening.
  • Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.