Data Scientist (Masters) - AI Data Trainer

Data Scientist (Masters) - AI Data Trainer

Posted Today by Alignerr

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Negotiable
Outside
Remote
London, England, United Kingdom
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Agility Artificial Intelligence Bayesian Inference Big Data Computer Science Continuous Integration and Continuous Delivery Data Analysis Data Engineering Data Quality Data Science Deep Learning Dimensionality Reduction Machine Learning Natural Language Processing Probability And Statistics PyTorch (Machine Learning Library) Scikit-learn (Machine Learning Library) SQL (Programming Language) Statistical Inference Statistics Syntax TensorFlow Workflows

Summary: The Data Scientist (Masters) - AI Data Trainer role at Alignerr involves collaborating with leading AI research teams to develop and evaluate advanced AI models. The position requires designing complex data science challenges, authoring technical solutions, and conducting technical audits of AI-generated outputs. Candidates should possess an advanced degree in a quantitative field and demonstrate strong analytical writing skills. This is a remote, hourly contract position with flexible hours ranging from 10 to 40 per week.

Key Responsibilities:

  • Design advanced data science challenges across various domains.
  • Create rigorous technical solutions including Python/R scripts and SQL queries.
  • Evaluate AI-generated code and data visualizations for accuracy.
  • Identify logical fallacies in AI reasoning and provide structured feedback.

Key Skills:

  • Advanced Degree: Masters or PhD in Data Science, Statistics, Computer Science, or a related field.
  • Strong foundational knowledge in supervised/unsupervised learning and deep learning.
  • Ability to communicate technical concepts clearly in writing.
  • High attention to detail in code and statistical analysis.
  • Preferred experience with data annotation and production-level data science workflows.

Salary (Rate): £80.00 hourly

City: London

Country: United Kingdom

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

Location: Remote

About The Job

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.

Organization : Alignerr

Position : Data Scientist (Masters) - AI Data Trainer

Type : Hourly Contract

Compensation : $40–$80 /hour

Location : Remote

Commitment : 10–40 hours/week

What You’ll Do

  • 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).

Why Join Us

  • 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.

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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