AI/ML Engineer - Expert Network
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Prolific Academic LtdArtificial Intelligence
Global pool of participants, enabling the collection of high-quality... dataContractSenior
SalaryUp to $80 per hour
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Job Details
- Required Skills
- PythonKerasMachine LearningPyTorchTensorflowPrompt EngineeringLLM
Requirements
- BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a quantitative field focusing on Machine Learning.
- Professional experience building, deploying, or fine-tuning ML models in production environments.
- Deep professional-level understanding of neural network architectures including Transformers, CNNs, and RNNs.
- Hands-on experience with Prompt Engineering, RLHF, or RAG workflows.
- Ability to audit complex model logic, identify data contamination, and evaluate mathematical proofs.
- Proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills including NumPy, Pandas, and Scikit-learn.
- Experience with Hugging Face Transformers.
- Experience with cloud and MLOps tools such as AWS SageMaker, Google Vertex AI, Weights & Biases, or LangChain.
- Familiarity with vector databases like Pinecone, Milvus, or Weaviate.
Responsibilities
- Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
- Validate ML-specific code including training loops, data preprocessing scripts, and model evaluations.
- Provide high-quality human feedback to align models with human intent, safety, and helpfulness through RLHF frameworks.
- Critically assess how AI models navigate complex chain-of-thought (CoT) prompts to identify reasoning failures.
- Conduct comparative testing between different model outputs based on specific technical taxonomies and metrics.
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