Data Scientist

Alignerr; Remote; GBP 100,000 - 125,000; Part time

Job summary

A leading AI consultancy is seeking a remote Data Scientist (Masters) - AI Data Trainer to design advanced challenges and evaluate AI-generated code. The position requires an advanced degree in Data Science or a related field, with a strong grasp of machine learning concepts. Responsibilities include creating technical solutions and providing feedback to improve AI reasoning. A competitive hourly pay rate of $40–$80 is offered, along with flexible work arrangements.

Benefits

Excellent compensation

Location-independent flexibility

High agency and agility

Qualifications

• Masters or PhD in Data Science or related field, focusing on data analysis.
• Strong understanding of machine learning and deep learning principles.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Design advanced data science challenges across various domains.
• Create technical solutions using Python/R and SQL for data challenges.
• Evaluate AI-generated code for technical accuracy and efficiency.
• Identify and provide feedback on logical fallacies in AI reasoning.

Skills

Advanced degree in Data Science or related field

Knowledge of supervised/unsupervised learning

Analytical writing skills

Attention to detail

Education

Masters or PhD in Data Science, Statistics, Computer Science

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Scientist (Masters) - AI Data Trainer

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)

1. Submit your resume
2. Complete a short screening
3. Project matching and onboarding

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