Data Scientist (Masters)

Alignerr Corp.; United States; Remote; AUD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Masters-level Data Scientist to challenge and improve cutting-edge AI models. This is a fully remote, flexible hourly contract role designed for hands-on work with state-of-the-art AI systems.

You will design complex challenges, author ground-truth solutions, audit AI-generated code, and provide structured feedback to strengthen model reasoning. Expect 10–40 hours per week and independent, asynchronous work.

Qualifications

• Pursuing or holding a Masters/PhD in a quantitative field with data analysis focus.
• Strong knowledge of supervised/unsupervised learning and deep learning.
• Experience with NLP or big data technologies encouraged.
• Excellent written and verbal communication for technical audiences.

Responsibilities

• Design complex data science challenges to stress-test AI reasoning.
• Author ground-truth solutions with Python/R, SQL, and mathematical derivations.
• Audit model outputs using Scikit-Learn, PyTorch, and TensorFlow for quality and correctness.
• Identify data leakage, overfitting, and imbalanced datasets, and provide actionable feedback.
• Work independently on asynchronous, task-based assignments.

Skills

Self-directed

Strong communication

Analytical thinking

Independent work

Education

Masters or PhD in Data Science, Statistics, Computer Science, or quantitative field

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

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 Masters-level data scientists to challenge, evaluate, and improve cutting-edge AI models — working hands-on with the technology that’s redefining the field.

This is a fully remote, flexible contract role. No prior AI industry experience required — just deep domain knowledge and a sharp analytical mind.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design Complex Challenges: Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically designed to stress-test AI reasoning
• Author Ground-Truth Solutions: Build rigorous, 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, assessing them for correctness, efficiency, and technical soundness
• Sharpen Model Reasoning: Identify logical flaws in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that improves how models think
• Work Independently: Complete task-based assignments asynchronously on your own schedule

Who You Are

• Pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
• Solid foundational knowledge across core areas — supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
• Meticulous when reviewing code syntax, mathematical notation, and statistical conclusions
• Self-directed and reliable when working independently
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with production-level data science workflows — MLOps, CI/CD for models
• Background in academic research or technical writing
• Exposure to model interpretability, fairness, or robustness evaluation

Why Join Us

• Work directly with industry-leading large language models and cutting-edge AI research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with meaningful, intellectually stimulating work
• Collaborate with top-tier AI labs shaping the next generation of intelligent systems
• Potential for ongoing work and contract extension as new projects launch