Alignerr
Data Scientist (Masters)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist (Masters)
Data Scientist (Masters) — AI Data Trainer
Master's or PhD required | Remote contract role
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world’s most advanced AI thinks and reasons?
We’re looking for data scientists with advanced training to help build and stress-test cutting-edge AI models. You’ll design complex, expert-level challenges that push AI systems to their limits—and when they fail, you’ll document exactly why, so we can make them better.
This is a fully remote, flexible contract role. No prior AI industry experience required—just domain expertise and a sharp analytical mind.
Organization & Details
- Organization: Alignerr
- Type: Hourly contract
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
- Design Advanced Challenges
- Create expert-level data science problems covering:
- Hyperparameter optimization
- Bayesian inference
- Cross-validation strategies
- Dimensionality reduction
- And beyond
- Create expert-level data science problems covering:
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
-
Author Ground-Truth Solutions
- Develop rigorous, step-by-step technical solutions including:
- Python/R scripts
- SQL queries
- Mathematical derivations
- Serve as definitive reference answers for AI benchmarks
- Develop rigorous, step-by-step technical solutions including:
-
Audit AI-Generated Code
- Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, TensorFlow
- Ensure technical correctness, efficiency, and best practices
-
Sharpen AI Reasoning
- Identify logical failures in AI responses (e.g., data leakage, overfitting, imbalanced datasets)
- Provide structured feedback to directly improve model performance
Who You Are
-
Pursuing or holding a Master’s or PhD in:
- Data Science
- Statistics
- Computer Science (quantitative/ML focus)
- Related quantitative fields
-
Foundational knowledge in:
- Supervised/unsupervised learning
- Deep learning
- Big data technologies (Spark, Hadoop)
- Natural Language Processing (NLP) (Nice to have)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
-
Ability to:
- Clearly communicate complex algorithmic concepts and statistical results (verbally/written)
- Spot errors in code syntax, mathematical notation, or statistical conclusions
- Work independently on an asynchronous schedule
-
No AI/data annotation experience required.
Nice-to-Have Skills
✅ Experience with:
- Data annotation
- Data quality systems
- Model evaluation
- Production-level MLOps & CI/CD pipelines
- Cross-language programming/probabilistic environments
Why Join Us?
✔ Work alongside industry-leading AI research labs on frontier technology ✔ Fully remote & asynchronous—flexible hours ✔ Freelance autonomy with meaningful, intellectually stimulating work ✔ High-impact role: Your expertise shapes how advanced AI understands data science ✔ Potential for ongoing contracts with expanded opportunities
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location