Alignerr
Data Scientist (Masters)
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Data Scientist (Masters)
Data Scientist (Masters) — AI Data Trainer
About the Role
What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world’s most advanced AI systems think and reason?
We're looking for data scientists with an advanced background to join Alignerr’s AI training program, where you'll work hands-on with cutting-edge language models. Your mission? Stress-test their reasoning, expose blind spots, and help build AI capable of solving complex problems accurately.
This is a fully remote, flexible contract role. No prior AI industry experience is required—just deep, rigorous knowledge of data science and the ability to communicate it with precision.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Design Advanced Challenges: Create complex, domain-specific data science problems spanning:
- Hyperparameter optimization
- Bayesian inference
- Cross-validation strategies
- Dimensionality reduction
- (and more)
- Author Ground-Truth Solutions: Develop rigorous, step-by-step reference solutions, including:
- Python/R scripts
- SQL queries
- Mathematical derivations (to set the standard for correct AI responses)
- Audit AI-Generated Code: Evaluate outputs from models using Scikit-Learn, PyTorch, TensorFlow, and other frameworks for:
- Technical accuracy
- Efficiency
- Soundness
- Sharpen AI Reasoning: Identify and document logical failures in AI outputs, such as:
- Data leakage
- Overfitting
- Improper handling of class imbalance
- Systematically Record Failure Modes: Help research teams harden model behavior at scale by documenting breakdowns.
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Who You Are
- Pursuing or holding a Master’s or PhD in:
- Data Science
- Statistics
- Computer Science
- (or a quantitative field with a heavy emphasis on data analysis)
- Deeply grounded in core data science:
- Supervised/unsupervised learning
- Deep learning
- Statistical inference
- Big data technologies (e.g., Spark, Hadoop)
- Comfortable writing rigorous technical solutions and explaining complex algorithmic concepts clearly in writing
- Precise and detail-oriented—able to catch errors in code syntax, mathematical notation, or statistical conclusions that others might miss
- Self-directed and reliable— capable of working independently on an asynchronous schedule
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Nice to Have:
- Experience with data annotation, data quality workflows, or evaluation systems
- Familiarity with production-level data science practices, such as:
- MLOps
- CI/CD for models
- Model deployment pipelines
- Exposure to NLP, computer vision, or other applied ML domains
Why Join Us?
- Work directly with industry-leading AI language models on technically meaningful problems
- Fully remote with flexible hours—work when and where it suits you
- High autonomy contractor arrangement with international reach
- Contribute to AI development that shapes how the technology understands data science at its frontier
- Potential for ongoing work and contract renewal as new projects launch
“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
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