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 graduate-level training to stress-test cutting-edge AI models — designing the hardest problems you can imagine, building the gold-standard solutions, and identifying exactly where AI reasoning breaks down. This is a fully remote, flexible contract role built for serious data scientists who want to work at the frontier of AI development — on their own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Advanced Challenges — Create rigorous, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more

Build Ground-Truth Solutions — Author precise, step-by-step technical solutions 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 technical soundness

Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback that directly improves how models think





Work Independently — Complete task-based assignments asynchronously, fully on your own schedule Who You Are Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong emphasis on data analysis

Deep foundational knowledge in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP

Able to communicate complex algorithmic concepts and statistical results clearly and concisely in writing

Exceptionally detail-oriented — accurate when checking code syntax, mathematical notation, and the validity of statistical conclusions

Self-motivated and consistent when working independently

No prior AI industry experience required Nice to Have Prior experience with data annotation, data quality evaluation, or AI output review

Proficiency in production-level data science workflows — MLOps, CI/CD for models, or model monitoring

Familiarity with academic or industry benchmarking methodologies

Broad exposure across multiple data science subfields Why Join Us Work directly with industry-leading AI research labs on cutting-edge model development

Fully remote and flexible — work when and where it suits you

High agency and autonomy as an independent contractor

Meaningful, intellectually stimulating work that pushes the boundaries of what AI can do

Potential for ongoing contract renewals as new projects launch

📌 Data Scientist (Masters) (Mumbai)
🏢 Alignerr
📍 Mumbai