Ai Engineer/ml Engineer - Senior Developers - Ai Training - San Francisco, Us

Prolific

Remote, US
Up to $80 ph; flexible hours; pyid tasks ranging f...
Fully remote
Bs, ms, or phd in computer science
Experience building ml models in production
Proficiency in pytorch or tensorflow/keras
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network for the purpose of training and evaluating large language models (LLMs). Ideal candidates will possess strong technical expertise in machine learning, deep learning, and relevant software frameworks, while enjoying the flexibility of remote work and competitive pay

Job Summary

  • Prolific is building the biggest pool of quality human data in the world for over 35,000 AI developers and researchers.
  • The role involves training and evaluating next-generation LLMs using deep technical expertise to ensure model accuracy and safety.
  • Researchers pay up to $80 per hour for tasks requiring one hour of uninterrupted work to refine AI model outputs.

Matching Summary

Match Score: 85

Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network for the purpose of training and evaluating large language models (LLMs). Ideal candidates will possess strong technical expertise in machine learning, deep learning, and relevant software frameworks, while enjoying the flexibility of remote work and competitive pay.

Salary

Up to $80 per hour; Flexible hours; Paid tasks ranging from short durations to one hour

Skills & Requirements

Must-have

  • BS, MS, or PhD in Computer Science
  • experience building ML models in production
  • proficiency in PyTorch or TensorFlow/Keras
  • hands-on experience with Prompt Engineering
  • ability to audit complex model logic

Nice-to-have

  • experience with RLHF workflows
  • familiarity with RAG evaluation techniques
  • knowledge of vector databases like Pinecone
  • attention to detail in spotting hallucinations
  • experience with AWS SageMaker or Vertex AI

Key Requirements

  • Degree in Computer Science, AI, Robotics, or related quantitative field
  • Professional experience deploying ML models in production environments
  • Expert proficiency in Python libraries including NumPy and Pandas

Work Rights

Not specified

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