Data Scientist (Masters) - AI Data Trainer

Alignerr
8 days ago

Role details

Contract type
Contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Compensation
£ 69K

Job location

Remote

Tech stack

Artificial Intelligence
Data analysis
Big Data
Continuous Integration
Information Leak Prevention
Data Visualization
Hadoop
Python
TensorFlow
SQL Databases
PyTorch
Spark
Deep Learning
Scikit Learn
Information Technology
Machine Learning Operations
Unsupervised Learning

Job description

  • Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses."
  • Technical Auditing: Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as data leakage, overfitting, or improper handling of imbalanced datasets-and provide structured feedback to improve the model's "thinking" process.

Requirements

  • Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
  • Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
  • Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.
  • No AI experience required

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models).

Benefits & conditions

Organization: Alignerr Position: Data Scientist (Masters) - AI Data Trainer Type: Hourly Contract Compensation: $40-$80 /hour Location: Remote Commitment: 10-40 hours/week, * Excellent compensation with location-independent flexibility.

  • Direct engagement with industry-leading LLMs.
  • Contractor advantages: high agency, agility, and international reach.
  • More opportunities for contracting renewals.

About the company

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. You'll challenge advanced language models on topics like machine learning theory, statistical inference, neural network architectures, and data engineering pipelines-documenting every failure mode so we can harden model reasoning.

Apply for this position