Data Scientist – AI Training & Evaluation

About The Role

We're looking for data scientists to help train, evaluate, and improve next-generation AI systems. Your expertise in statistics, machine learning, and data analysis will directly shape how AI reasons, interprets data, and delivers results — making a real and measurable impact on the future of AI.

* Organization: Alignerr

* Type: Hourly Contract

* Location: Remote (US-based)

* Commitment: 10–40 hours/week

What You'll Do

* Evaluate AI model outputs for accuracy, reasoning quality, and statistical soundness

* Design and apply data-driven evaluation criteria and scoring rubrics

* Analyze patterns in AI-generated responses to identify systematic errors or biases

* Create high-quality training data including prompts, solutions, and annotations in your areas of expertise

* Provide structured, detailed feedback to improve model performance across data science and analytical tasks

* Review AI-generated code, visualizations, and statistical analyses for correctness

* Work independently and asynchronously on your own schedule

Who You Are

* Based in the United States

* Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)

* Strong foundation in statistics, probability, and machine learning concepts

* Proficient in Python, R, SQL, or similar data analysis tools

* Experienced with data wrangling, exploratory data analysis, and model evaluation

* Excellent analytical thinking and sharp attention to detail

* Clear written communicator — able to explain complex technical concepts simply

* Self-motivated and comfortable working independently

Nice to Have

* Experience with deep learning frameworks (PyTorch, TensorFlow)

* Familiarity with NLP, LLMs, or AI evaluation workflows

* Published research or industry experience in applied machine learning

* Background in A/B testing, causal inference, or experimental design

Why Join Us

* Work on cutting-edge AI projects shaping the future of technology

* Collaborate with top research labs and AI teams globally

* Fully remote and flexible — work on your own schedule, your own way

* Gain deep, hands-on exposure to how state-of-the-art LLMs are trained and evaluated

* Be part of a growing community of expert contributors making AI smarter and more reliable

* Potential for ongoing work and long-term contract extension