Ai Engineer/ml Engineer - Senior Developers - Ai Training - Denver, Us

Prolificacademicltd

Remote
Up to $80 ph; flexible hours; pyid tasks requiring...
Remote
Bs/ms/phd in computer science or related field
Production experience building or fine-tuning 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 will need a strong educational background in relevant fields and hands-on experience with machine learning models. Successful applicants will be compensated for their work while contributing to AI innovation

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 evaluating AI-generated content and refining model reasoning.
  • The role requires deep technical expertise to audit code, validate architecture logic, and ensure mathematical accuracy.

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 will need a strong educational background in relevant fields and hands-on experience with machine learning models. Successful applicants will be compensated for their work while contributing to AI innovation.

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 or fine-tuning ML models
  • Expert proficiency in PyTorch or TensorFlow/Keras
  • Hands-on experience with Prompt Engineering or 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
  • High attention to detail for spotting hallucinations
  • Experience with Hugging Face Transformers library

Key Requirements

  • Degree in Computer Science, AI, Robotics, or quantitative field
  • Professional-level understanding of neural network architectures
  • Pass a 10-15 minute skills assessment test

Work Rights

Not specified

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