AI/ML Engineer - AI Training
New
P
Prolific Academic LtdArtificial Intelligence
Global pool of participantsContractSenior
SalaryUp to $80 per hour
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Job Details
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep LearningPrompt Engineering
Requirements
- BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
- Professional experience building, deploying, or fine-tuning ML models in a production environment.
- Professional-level understanding of neural network architectures including Transformers, CNNs, and RNNs.
- Hands-on experience with LLM workflows such as Prompt Engineering, RLHF, or RAG.
- Ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs.
- Attention to detail in identifying 'hallucinations', bias, or logical failures in AI-generated content.
- Expert proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills (NumPy, Pandas, Scikit-learn) and 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 such as Pinecone, Milvus, or Weaviate.
Responsibilities
- Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
- Validate ML-specific code, such as training loops, data preprocessing scripts, or model evaluations, for efficiency and correctness.
- Provide high-quality human feedback to refine RLHF frameworks for model alignment, safety, and helpfulness.
- Critically assess how AI models navigate complex chain-of-thought (CoT) prompts and identify reasoning failures.
- Conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
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