Ai Engineer/ml Engineer - Senior Developers - Ai Training - Portland, Us
Prolificacademicltd
Remote, US
Up to $80 ph; flexible hours; remote work from hom...
Remote
Bs/ms/phd in computer science or related field
Production experience building ml models
Deep learning mastery of transformers cnns rnns
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating large language models (LLMs). Candidates with a strong technical background in machine learning, particularly in deep learning and LLM specialization, will be invited to participate in paid tasks that can earn up to $80 per hour
Job Summary
Prolific is building the biggest pool of quality human data in the world for over 35,000 AI developers and researchers.
Experts can earn up to $80 per hour to train and evaluate next-generation LLMs using deep technical expertise.
The role requires auditing code, evaluating model reasoning, and refining RLHF frameworks to align AI with human intent.
Matching Summary
Match Score: 85
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating large language models (LLMs). Candidates with a strong technical background in machine learning, particularly in deep learning and LLM specialization, will be invited to participate in paid tasks that can earn up to $80 per hour.
Salary
Up to $80 per hour; Flexible hours; Remote work from home
Skills & Requirements
Must-have
BS/MS/PhD in Computer Science or related field
Production experience building ML models
Deep learning mastery of Transformers CNNs RNNs
Hands-on Prompt Engineering RLHF or RAG workflows
Expert proficiency in PyTorch or TensorFlow/Keras
Advanced Python with NumPy Pandas Scikit-learn
Nice-to-have
Experience with AWS SageMaker or Google Vertex AI
Familiarity with vector databases like Pinecone Milvus
Ability to audit complex model logic and data contamination
High attention to detail for spotting hallucinations
Experience with Hugging Face Transformers and LangChain
Key Requirements
BS MS or PhD in Computer Science AI Robotics or quantitative field
Professional experience deploying fine-tuning ML models in production