AI Engineer/ML Engineer - Senior Developers - AI Training - Fort Worth, US

Role overview A remote expert network is hiring senior AI and ML engineers to contribute paid technical work that trains and evaluates large language models. The position is task-driven rather than full-time, focusing on deep technical critique of model behavior, code, and reasoning rather than ongoing product development.

Responsibilities - Evaluate AI-generated explanations covering model architectures, loss functions, and backpropagation for technical accuracy - Audit ML-specific code, notebooks, training loops, and preprocessing pipelines for correctness and efficiency - Provide expert human feedback that strengthens RLHF processes for safety, intent alignment, and helpfulness - Analyze chain-of-thought reasoning to identify where models fail or produce flawed logic - Run structured benchmarking across model outputs based on technical taxonomies and performance criteria

Requirements - BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative ML discipline - Production experience building, deploying, or fine-tuning machine learning models - Professional understanding of neural network architectures such as Transformers, CNNs, and RNNs, plus optimization methods - Hands-on work with prompt engineering, RLHF, or retrieval-augmented generation workflows - Ability to audit complex model logic, flag training data contamination, and evaluate mathematical proofs underpinning ML algorithms - Meticulous attention to detail for catching hallucinations, bias, and reasoning failures

Nice to have - Expert proficiency in PyTorch or TensorFlow/Keras - Strong Python skills with NumPy, Pandas, Scikit-learn, and Hugging Face Transformers - Familiarity with AWS SageMaker, Google Vertex AI, Weights and Biases, or LangChain - Exposure to vector databases including Pinecone, Milvus, or Weaviate for RAG evaluation

Benefits and work setup - Remote, task-based engagement with flexible scheduling - Compensation up to roughly $80 per hour, with many studies completed in under an hour