About the role
From the employer’s listing · Alignerr · posted 7 October 2026
Data Science Expert — AI Content Specialist
About The Role
What if your expertise in machine learning, statistical modeling, and data engineering could directly shape the next generation of AI? We're looking for Data Science Experts to stress-test and refine advanced AI models — designing hard problems, building gold-standard solutions, and identifying exactly where AI reasoning breaks down.
This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want meaningful, high-impact work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Challenges — Create complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Build Ground-Truth Solutions — Author rigorous, step-by-step technical responses including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
- Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
- Refine AI Reasoning — Identify logical failures such as data leakage, overfitting, improper handling of class imbalance, or flawed statistical conclusions, and provide structured feedback to improve model behavior
Who You Are
- Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline
- Strong foundational knowledge in supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
- Able to communicate complex algorithmic and statistical concepts clearly in writing
- Meticulous attention to detail — you catch errors in code syntax, mathematical notation, and statistical logic
- No prior AI or annotation experience required
Nice to Have
- Experience with data annotation, data quality, or model evaluation workflows
- Familiarity with production data science practices such as MLOps or CI/CD pipelines for models
- Background in academic research or technical writing
Why Join Us
- Work directly with industry-leading AI research labs on cutting-edge language models
- Fully remote and async — work on your own schedule, from anywhere
- Freelance flexibility with consistent, meaningful task-based work
- High-autonomy contractor role with global reach
- Potential for ongoing work and contract extension as new AI projects launch