AI/ML Engineer - AI Training
New
P
Prolific Academic LtdArtificial Intelligence
Global pool of participantsContractSenior
SalaryUp to $80 per hour
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSPythonGCPKerasMachine LearningPyTorchTensorflowLLM
Requirements
- BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
- Experience building, deploying, or fine-tuning ML models in a production environment.
- Professional-level understanding of neural network architectures such as Transformers, CNNs, and RNNs.
- Hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
- 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 like AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain.
- Familiarity with vector databases such as Pinecone, Milvus, or Weaviate.
- Ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs.
- High attention to detail in spotting hallucinations, biased outputs, or logical failures.
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 for efficiency and correctness.
- Provide high-quality human feedback to refine RLHF frameworks and align models with human intent, safety, and helpfulness.
- Critically assess how AI models navigate complex chain-of-thought prompts to identify reasoning breakdowns.
- Conduct comparative performance testing between different model outputs based on specific technical taxonomies and metrics.
View Full Description & ApplyYou'll be redirected to the employer's site
