Remote AI & ML Engineer for LLM Training

Prolific

United States

Remote

USD 91,000 - 129,000

Full time

14 days+

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Job summary

Prolific is seeking AI & Machine Learning Engineers to join its Expert Network to train and evaluate next-gen LLMs. You’ll perform tasks that pay researchers up to $80/hour, with assignments lasting about an hour or less.

Ideal candidates hold a BS/MS/PhD in CS/AI/Robotics and have hands-on experience with ML production, transformers, and RLHF workflows. Remote, flexible hours, competitive pay, and global opportunities await.

Qualifications

  • Education in a quantitative field with ML focus.
  • Experience building or deploying ML models in production.
  • Deep learning mastery of transformer, CNNs, RNNs.
  • Hands-on LLMs tasks: Prompt Engineering, RLHF, or RAG.
  • Ability to audit model logic and data quality.
  • Attention to detail in detecting hallucinations and biases.

Responsibilities

  • Evaluate LLM architecture logic and technical accuracy.
  • Audit ML code and notebooks for efficiency and correctness.
  • Refine RLHF frameworks with high-quality human feedback.
  • Analyze model reasoning and chain-of-thought prompts.
  • Benchmark outputs using technical taxonomies and metrics.

Skills

ML engineering
Deep learning
LLM specialization
Prompt engineering
RLHF
RAG workflows
Code audit
Model evaluation
Analytical critique
Mathematical proofs

Education

BS/MS/PhD in CS/AI/Robotics

Tools

PyTorch
TensorFlow/Keras
Python (NumPy, Pandas, Scikit-learn)
Hugging Face Transformers
AWS SageMaker
GCP Vertex AI
Weights & Biases
LangChain
Vector databases (Pinecone/Milvus/Weaviate)

Job description

Prolific is seeking AI & Machine Learning Engineers to join its Expert Network to train and evaluate next-gen LLMs. You’ll perform tasks that pay researchers up to $80/hour, with assignments lasting about an hour or less.

Ideal candidates hold a BS/MS/PhD in CS/AI/Robotics and have hands-on experience with ML production, transformers, and RLHF workflows. Remote, flexible hours, competitive pay, and global opportunities await.

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