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

Prolificacademicltd

Remote, US
Up to $80 ph; flexible hours; pyid tasks requiring...
Fully remote
Bs/ms/phd in computer science or related field
Production ml model deployment experience
Deep learning architecture mastery
Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, where they will help train and evaluate advanced AI models. Candidates should have a strong educational background in relevant fields, significant experience in ML model development, and proficiency in key technologies

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 auditing code, validating mathematical proofs, and providing high-quality feedback to align models with human intent.

Matching Summary

Match Score: 90

Prolific is seeking experienced AI and Machine Learning Engineers to join their Expert Network, where they will help train and evaluate advanced AI models. Candidates should have a strong educational background in relevant fields, significant experience in ML model development, and proficiency in key technologies.

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 ML model deployment experience
  • Deep learning architecture mastery
  • LLM specialization in Prompt Engineering
  • Expert proficiency in PyTorch or TensorFlow

Nice-to-have

  • Experience with RAG workflows
  • Ability to audit complex model logic
  • High attention to detail for hallucinations
  • Familiarity with vector databases
  • Cloud MLOps experience on AWS or GCP

Key Requirements

  • BS, MS, or PhD in Computer Science or related quantitative field
  • Professional experience building or fine-tuning ML models
  • Hands-on experience with RLHF or RAG workflows

Work Rights

Not specified

Tailored Resume

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