Ai Engineer/ml Engineer - Senior Developers - Ai Training - Austin, Us
Prolific
Remote, US
Up to $80 ph; flexible hours; remote work
**
Bs/ms/phd in computer science or related field
Production experience building and deploying ml models
Expert proficiency in pytorch or tensorflow/keras
**
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating large language models (LLMs). Candidates should possess a strong technical background in machine learning, with specific expertise in deep learning and model evaluation. The role offers competitive hourly pay and the flexibility of remote work.
**
Job Summary
Prolific is building the world's biggest pool of quality human data to train next-generation LLMs.
Experts can earn up to $80 per hour by evaluating AI-generated content and refining model reasoning.
The role requires deep technical expertise to audit code, validate mathematical proofs, and ensure model safety.
Matching Summary
Match Score: 75
**
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating large language models (LLMs). Candidates should possess a strong technical background in machine learning, with specific expertise in deep learning and model evaluation. The role offers competitive hourly pay and the flexibility of remote work.
**
Salary
Up to $80 per hour; Flexible hours; Remote work
Skills & Requirements
Must-have
BS/MS/PhD in Computer Science or related field
Production experience building and deploying ML models
Expert proficiency in PyTorch or TensorFlow/Keras
Hands-on experience with Prompt Engineering and RLHF
Ability to audit complex model logic and code
Nice-to-have
Experience with RAG workflows and vector databases
Familiarity with AWS SageMaker or Google Vertex AI
Strong attention to detail for spotting hallucinations
Knowledge of Hugging Face Transformers library
Key Requirements
Degree in Computer Science, AI, Robotics, or quantitative field
Professional experience in production ML environments