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.
- 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.
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in production level data science workflows (e.g., MLOps, CI/CD for models).
- 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.
- 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.