Data Scientist & AI Data Trainer

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

Job summary

A leading AI research partner is seeking a Data Scientist (Masters) - AI Data Trainer. This role involves developing complex data science challenges and providing rigorous solutions while evaluating AI-generated outputs for accuracy. Ideal candidates will hold a Masters or PhD and possess expertise in machine learning and statistical inference. The position offers flexible hours and excellent compensation in a remote setting.

Benefits

Excellent compensation

Location-independent flexibility

Direct engagement with industry-leading LLMs

High agency and agility

Qualifications

• Masters or PhD in a quantitative field with a heavy emphasis on data analysis.
• Strong foundational knowledge in supervised/unsupervised learning and NLP.
• Ability to communicate technical concepts clearly in writing.
• High precision when checking code syntax and statistical conclusions.

Responsibilities

• Design advanced data science challenges across various domains.
• Create technical solutions including Python/R scripts and SQL queries.
• Evaluate AI-generated code and statistical summaries for accuracy.
• Provide structured feedback to improve AI model reasoning.

Skills

Machine learning theory

Statistical inference

Neural network architectures

Data engineering pipelines

Analytical writing

Attention to detail

Education

Masters or PhD in Data Science, Statistics, Computer Science, or a quantitative field

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

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.