Data Scientist (Masters)

Alignerr Corp.; Sheffield (TX); Remote; USD 55,000 - 124,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract-based freelance work

Job summary

Alignerr is seeking Masters-level Data Scientists to challenge, evaluate, and refine cutting-edge AI models—stress-testing their reasoning on the hardest problems in the field. This is a fully remote, flexible hourly contract role with 10–40 hours per week.

No prior AI industry experience is required; deep domain knowledge and a sharp eye for technical accuracy are essential.

Qualifications

• Masters/PhD in Data Science, Statistics, CS or quantitative field with data analysis focus.
• Strong knowledge of supervised/unsupervised learning, DL, and NLP.
• Ability to communicate complex concepts in writing.
• No prior AI industry experience required.

Responsibilities

• Design Advanced Challenges — Create rigorous data science problems spanning advanced topics.
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions with code and math.
• Audit AI-Generated Code — Evaluate model outputs for correctness and efficiency.
• Identify Reasoning Failures — Document logical flaws and provide feedback for improvement.
• Work Independently — Complete tasks asynchronously on your own schedule.

Skills

Supervised learning

Unsupervised learning

Deep learning

Big data (Spark/Hadoop)

NLP

Education

Master's in Data Science

PhD in DS or related field

Tools

Scikit-Learn

PyTorch

TensorFlow

SQL

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 reason and problem-solve? We're looking for Masters-level data scientists to challenge, evaluate, and refine cutting-edge AI models — stress-testing their reasoning on the hardest problems your field has to offer. This is a fully remote, flexible contract role. No prior AI industry experience needed — just deep domain knowledge and a sharp eye for technical accuracy.

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

What You'll Do

• Design Advanced Challenges — Create rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions — Write 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 best practices
• Identify Reasoning Failures — Spot and document logical flaws in AI reasoning — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback to improve model behavior
• Work Independently — Complete task-based assignments asynchronously, fully on your own schedule

Who You Are

• Currently 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 such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
• Precise and detail-oriented — you notice when code logic, mathematical notation, or statistical conclusions don't hold up
• 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, or model monitoring
• Background in academic research, technical writing, or peer review
• Hands-on experience with experiment tracking tools like MLflow or Weights & Biases

Why Join Us

• Work directly with industry-leading AI research labs on genuinely cutting-edge models
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact technical work
• Engage deeply with topics at the frontier of machine learning and AI development
• Potential for ongoing work and contract extension as new projects launch