Data Scientist AI Data Trainer
Alignerr
Job Overview
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Job 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. As a Data Scientist AI Data Trainer, you will challenge advanced language models on topics like machine learning theory, statistical inference, neural network architectures, and data engineering pipelines. Your critical role involves meticulously documenting every failure mode to enhance model reasoning and robustness.
This is an hourly contract position with compensation ranging from $40–$80 per hour, requiring a commitment of 10–40 hours per week, and offering the flexibility of remote work.
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
The application process is designed to be efficient, taking approximately 15-20 minutes:
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please ensure you complete your AI interview and all application steps to be considered for this exciting opportunity.
Key skills/competency
- Machine Learning
- Statistical Inference
- Neural Network Architectures
- Data Engineering
- Hyperparameter Optimization
- Bayesian Inference
- Python/R Scripting
- SQL Queries
- AI Model Evaluation
- Analytical Writing
How to Get Hired at Alignerr
- Research Alignerr's mission: Study their focus on building and training advanced AI models.
- Tailor your resume: Highlight advanced degrees, data science expertise, and analytical writing skills.
- Showcase quantitative analytical skills: Emphasize experience in machine learning, statistics, and data analysis.
- Prepare for technical screening: Expect challenges in hyperparameter optimization, Bayesian inference, and coding.
- Demonstrate clear communication: Practice explaining complex algorithmic concepts concisely and precisely.
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