Ai Engineer/ml Engineer - Senior Developers - Ai Training - San Diego, Usa
Prolificacademicltd
Remote, USA
Up to $80 ph; flexible hours; remote work allowed
Fully remote
Bs, ms, or phd in computer science
Production ml model deployment experience
Deep learning architecture mastery
Prolific is seeking experienced AI and Machine Learning Engineers for remote positions to help train and evaluate advanced AI models. Candidates should have a strong technical background in machine learning and deep learning, with tasks focused on auditing models and providing human feedback
Job Summary
Prolific is building the biggest pool of quality human data in the world for over 35,000 AI developers and researchers.
Engineers will be paid up to $80 per hour to train and evaluate next-generation LLMs using deep technical expertise.
The role requires auditing code, refining RLHF frameworks, and analyzing model reasoning to ensure technical accuracy and safety.
Matching Summary
Match Score: 85
Prolific is seeking experienced AI and Machine Learning Engineers for remote positions to help train and evaluate advanced AI models. Candidates should have a strong technical background in machine learning and deep learning, with tasks focused on auditing models and providing human feedback.
Salary
Up to $80 per hour; Flexible hours; Remote work allowed
Skills & Requirements
Must-have
BS, MS, or PhD in Computer Science
Production ML model deployment experience
Deep learning architecture mastery
LLM specialization in Prompt Engineering
RLHF or RAG workflow experience
PyTorch or TensorFlow proficiency
Advanced Python programming skills
Nice-to-have
AWS SageMaker or Google Cloud Vertex AI
Hugging Face Transformers experience
Weights & Biases familiarity
LangChain framework knowledge
Vector database expertise like Pinecone
Ability to audit complex model logic
High attention to detail for hallucinations
Key Requirements
Degree in Computer Science, AI, Robotics, or related quantitative field
Professional experience building or fine-tuning ML models in production
Expert proficiency in PyTorch or TensorFlow/Keras
Hands-on experience with Prompt Engineering, RLHF, or RAG workflows
Ability to complete one-hour uninterrupted paid tasks