Data Scientist (Masters) - AI Data Trainer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Alignerr · 3 days ago

Data Scientist (Masters) - AI Data Trainer

positionUnited States
timeContract
remoteRemote
seniorityNew Grad, Entry Level
money$40/hr - $80/hr

Alignerr partners with leading AI research teams to build and train cutting-edge AI models. The role involves designing advanced data science challenges, creating rigorous technical solutions, and evaluating AI-generated code for accuracy and efficiency.

Computer Software

Responsibilities

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

Qualification

Data ScienceMachine LearningStatistical InferencePythonSQLDeep LearningBig Data TechnologiesAnalytical WritingData AnnotationMLOpsAttention to Detail

Required

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)

Benefits

Excellent compensation with location-independent flexibility.
Contractor advantages: high agency, agility, and international reach.

Company

Alignerr

twitter
company-logo
We're looking for experts to help train better AI.
people-size11-50 employees
web-link
https://www.alignerr.com/

Funding

Current Stage
Early Stage
Company data provided by crunchbase