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Data scientist (masters) - ai data trainer

Oxford
Permanent
Alignerr
Data scientist
Posted: 29 January
Offer description

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.

* Location: Remote


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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