Data Scientist (Masters)

Alignerr Corp.

Glasgow

Remote

GBP 55,000 - 110,000

Part time

27 hours ago
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Benefits offered by this job

Fully remote
Flexible hours
Contract work

Job summary

Alignerr is seeking a Data Scientist with a Masters or PhD to design advanced data science challenges and audit AI model reasoning. You will craft problems, write reference solutions in Python/SQL, and rigorously evaluate AI outputs for accuracy and efficiency.

The role is a fully remote hourly contract requiring 10–40 hours per week, with flexible scheduling and ongoing project work for selected candidates.

Qualifications

  • Pursuing or holding a Master’s or PhD in Data Science, Statistics, CS, or a quantitative field with data analysis focus.
  • Strong background in supervised/unsupervised learning and deep learning concepts.
  • Ability to clearly communicate complex results in written form.

Responsibilities

  • Design advanced data science challenges covering optimization, inference, and cross‑validation.
  • Author step‑by‑step ground‑truth solutions including code and mathematical derivations.
  • Audit AI outputs using Scikit‑Learn, PyTorch, and TensorFlow for accuracy and efficiency.
  • Identify data leakage, overfitting, and imbalanced data issues and provide feedback.
  • Document edge cases and reasoning failures to strengthen model performance.

Skills

Machine learning
Statistical inference
Data engineering

Education

Master's degree in data science
PhD in a quantitative field

Tools

Scikit-Learn
PyTorch
TensorFlow
Spark/Hadoop
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 think and reason? We're looking for data scientists with graduate-level training to challenge, evaluate, and improve cutting‑edge AI models — exposing their blind spots and helping them reason more rigorously about complex technical problems.

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 Advanced Challenges: Craft sophisticated data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more — pushing AI models to their limits
  • Author Ground‑Truth Solutions: Write 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 AI outputs using libraries like Scikit‑Learn, PyTorch, and TensorFlow — assessing correctness, efficiency, and technical soundness
  • Refine Model Reasoning: Identify flaws in AI reasoning such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured, actionable feedback to improve how models think
  • Document Failure Modes: Systematically record edge cases and reasoning errors to help harden model performance across real-world data science scenarios
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
  • Solid foundational knowledge across supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
  • Able to communicate complex algorithmic concepts and statistical results clearly in written form
  • Naturally precise — you catch errors in code syntax, mathematical notation, and statistical conclusions
  • Self‑directed and comfortable working independently on technical tasks
  • No prior AI or 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 pipelines for models, or model monitoring
  • Background in technical writing or academic research communication
Why Join Us
  • Work directly with industry‑leading AI models and top‑tier research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with meaningful, intellectually stimulating work
  • High agency over your schedule with 10–40 hours per week based on your availability
  • Potential for ongoing contract renewals as new AI projects launch
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