Job Description & How to Apply Below
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 systems reason and solve problems We're looking for expert-level data scientists to challenge, evaluate, and refine cutting-edge AI models — exposing their blind spots, correcting their reasoning, and helping build the next generation of intelligent systems.
This is a fully remote, flexible contract role. No prior AI industry experience required — just a strong foundation in data science and the ability to think rigorously under the hood.
Organization:
Alignerr
Type:
Hourly Contract
Location:
Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Challenges — Craft 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 technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive reference for AI evaluation
Audit AI-Generated Code — Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and Tensor Flow — assessing technical accuracy, efficiency, and correctness
Expose Reasoning Failures — Identify and document logical flaws in AI reasoning, such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback to improve model performance
Who You Are
Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
Deeply knowledgeable in core data science domains — supervised/unsupervised learning, deep learning, statistical inference, big data technologies (Spark, Hadoop), or NLP
A precise and analytical writer — you can explain complex algorithmic concepts and statistical results clearly in written form
Naturally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical logic that others miss
No prior AI or data annotation experience required
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation workflows
Proficiency in production-level data science practices — MLOps, CI/CD pipelines for models, or model monitoring
Familiarity with evaluation rubrics or quality assurance processes in technical contexts
Why Join Us
Work directly with industry-leading AI research labs on the frontier of model development
Fully remote and asynchronous — work when and where it suits you
High-agency contractor role with flexibility to scale your hours up or down
Meaningful, intellectually stimulating work that puts your expertise to real use
Potential for ongoing work and contract renewal as new projects launch
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×