AI Engineer​/ML Engineer - Senior Developers - AI Training

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.

• Evaluate the technical accuracy of AI-generated explanations covering model architectures, loss functions, and back propagation
• 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

• 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

• Expert-level command of PyTorch or Tensor Flow and Keras
• Advanced Python skills across Num Py, Pandas, and Scikit-learn, with hands-on Hugging Face Transformers experience
• Familiarity with cloud ML tooling such as AWS Sage Maker or Google Cloud Vertex AI, plus Weights & Biases or Lang Chain
• Working knowledge of vector stores such as Pinecone, Milvus, or Weaviate

• 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