Ai Engineer/ml Engineer - Senior Developers - Ai Training - San Jose, Usa

Prolificacademicltd

Remote, USA
Up to $80 ph; flexible hours; pyid tasks requiring...
**
Bs/ms/phd in computer science or related field
Production experience building and deploying ml models
Deep understanding of transformers, cnns, rnns architectures
** Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating advanced AI models. Ideal candidates will have strong technical expertise in machine learning, deep learning, and model auditing, with the opportunity to earn competitive pay while working remotely. **

Job Summary

  • Prolific is building the world's largest pool of quality human data to train next-generation LLMs.
  • Experts can earn up to $80 per hour evaluating AI-generated content and refining model reasoning.
  • The role requires a deep technical background to audit code, validate mathematical proofs, and align models with human intent.

Matching Summary

Match Score: 75

** Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, focusing on training and evaluating advanced AI models. Ideal candidates will have strong technical expertise in machine learning, deep learning, and model auditing, with the opportunity to earn competitive pay while working remotely. **

Salary

Up to $80 per hour; Flexible hours; Paid tasks requiring one hour of uninterrupted work

Skills & Requirements

Must-have

  • BS/MS/PhD in Computer Science or related field
  • Production experience building and deploying ML models
  • Deep understanding of Transformers, CNNs, RNNs architectures
  • Hands-on Prompt Engineering, RLHF, or RAG workflows
  • Expert proficiency in PyTorch or TensorFlow/Keras
  • Advanced Python skills with NumPy, Pandas, Scikit-learn

Nice-to-have

  • Experience auditing complex model logic for contamination
  • Ability to identify hallucinations and biased outputs
  • Familiarity with vector databases like Pinecone or Milvus
  • Experience with AWS SageMaker or Google Vertex AI
  • Knowledge of LangChain and Weights & Biases tools

Key Requirements

  • Degree in Computer Science, AI, Robotics, or quantitative field
  • Professional experience in production ML environments
  • Passing a 10-15 minute skills assessment test

Work Rights

Not specified

Tailored Resume

Cover Letter