Data Scientist (Masters)

Alignerr Corp.; Oxford; Remote; GBP 34,000 - 62,000; Part time

Job summary

Alignerr is seeking a Data Scientist with a Masters to join our remote AI data training program. You will design advanced data-science challenges, author rigorous ground-truth solutions, and audit AI-generated code to improve model reasoning.

This flexible hourly contract offers 10–40 hours per week and the opportunity to contribute to cutting-edge AI research from your remote workspace.

Qualifications

• Pursuing or holding a Masters/PhD in data science or related quantitative field.
• Solid grounding in supervised/unsupervised learning, deep learning, NLP, and big data tools.
• Ability to communicate complex algorithms clearly in writing.
• Precise and detail-oriented; detect errors in code and math.
• No prior AI annotation experience required.

Responsibilities

• Design advanced challenges spanning ML problems and model evaluation.
• Author ground-truth solutions with Python/R scripts, SQL queries, and derivations.
• Audit AI-generated code for technical accuracy, efficiency, and correctness.
• Identify failure modes and provide structured feedback to improve model reasoning.
• Document how models break down across domains and data pipelines.

Skills

Supervised/unsupervised learning

Deep learning

NLP

Big data (Spark/Hadoop)

Communication skills

Attention to detail

Education

Masters or PhD in Data Science or related field

Tools

Scikit-Learn

PyTorch

TensorFlow

SQL

Python

R

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 reason and solve problems? We're looking for Data Scientists with advanced degrees to challenge, evaluate, and refine cutting-edge AI models — exposing their blind spots, authoring gold-standard solutions, and making them genuinely smarter.

This is a fully remote, flexible contract role. No prior AI industry experience required — just deep domain knowledge and a passion for rigorous, high-quality technical work.

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

What You'll Do

• Design Advanced Challenges — Create 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 definitive reference answers
• Audit AI-Generated Code — Evaluate outputs from models using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
• Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback to improve model reasoning
• Document Failure Modes — Systematically capture how and why models break down across domains like neural network architectures, statistical modeling, and data engineering pipelines

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 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 catch errors in code syntax, mathematical notation, and statistical reasoning
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or model evaluation workflows
• Proficiency in production-level data science practices — MLOps, CI/CD pipelines for models
• Familiarity with prompt engineering or working directly with large language models
• Background in academic or applied research

Why Join Us

• Work directly on cutting-edge AI projects alongside leading research labs
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, technically challenging work
• Engage hands-on with industry-leading large language models
• Potential for ongoing work and contract extension as new projects launch
• Make a direct, measurable impact on how AI reasons through the hardest problems in data science