AI Engineer/ML Engineer - Senior Developers - AI Training - Charlotte, US

Role overview This paid, project-based opportunity invites seasoned machine learning engineers to contribute to the training and evaluation of advanced large language models. Participants apply deep technical judgment to audit AI-generated content, code, and reasoning in short, focused remote sessions. Work is intermittent and flexible, suiting practitioners who want to complement their primary role with high-impact research contributions.

Responsibilities - Evaluate the technical accuracy of AI-generated explanations covering model architectures, loss functions, and backpropagation - Audit ML codebases, training loops, and evaluation notebooks for correctness and performance - Deliver high-quality human feedback that supports reinforcement learning from human feedback pipelines - Stress-test model reasoning on complex chain-of-thought prompts and document where logic breaks down - Compare outputs across models using defined taxonomies and performance benchmarks

Requirements - BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative discipline with an ML focus - Production-level experience building, deploying, or fine-tuning machine learning models - Deep understanding of neural architectures including Transformers, CNNs, and RNNs, and modern optimization methods - Practical exposure to prompt engineering, RLHF, or retrieval-augmented generation workflows - Meticulous attention to detail for catching hallucinations, bias, and logical flaws in AI output - Based in the Charlotte area

Nice to have - Expert-level command of PyTorch or TensorFlow and Keras - Advanced Python skills across NumPy, Pandas, and Scikit-learn, with hands-on Hugging Face Transformers experience - Familiarity with cloud ML tooling such as AWS SageMaker or Google Cloud Vertex AI, plus Weights & Biases or LangChain - Working knowledge of vector stores such as Pinecone, Milvus, or Weaviate

Benefits and work setup - Compensation typically up to $80 per hour for qualifying tasks - Fully remote with flexible scheduling driven by project availability - Sessions generally capped at one hour of uninterrupted focus, with many shorter in duration