AI Engineer/ML Engineer - Senior Developers - AI Training - Charlotte, US
Prolific · Charlotte, NC · 2 mo ago
RemoteRemoteEngineering$80/hrTemporary
Evaluate LLM Architecture Logic
Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
Audit Code & Notebooks
Validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
Refine RLHF Frameworks
Provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
Analyze Model Reasoning
Critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
Benchmark Performance
Conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
- Expert proficiency in PyTorch or TensorFlow/Keras
- Advanced Python (NumPy, Pandas, Scikit-learn)
- Experience with Hugging Face Transformers
- Experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain
- Familiarity with vector databases such as Pinecone, Milvus, or Weaviate for RAG evaluation