Data Scientist – AI Training & Evaluation

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

• 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

• 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

• 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

• 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