Senior AI/ML Engineer — RLHF & Model Alignment (Remote)

prolificacademicltd

United States

Remote

USD 91,000 - 129,000

Part time

14 days+
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Benefits offered by this job

Fully remote engagement
Competitive hourly pay up to $80/hr
Short skills assessment before start

Job summary

prolificacademicltd is seeking senior AI/ML engineers for a flexible, remote contractor role in the United States. You will review explanations, audit code, and provide human feedback used to align models with human intent.

This is a contractor-style engagement with paid hourly work and a selection process through a short skills assessment. Applicants should have a strong ML background, experience with Transformers/CNNs/RNNs, and hands-on prompt engineering or RLHF.

Qualifications

  • BS/MS/PhD in CS/AI/Robotics or related ML field.
  • Experience deploying or fine-tuning ML models in production.
  • Strong understanding of Transformer/CNN/RNN architectures.
  • Hands-on with prompt engineering, RLHF, or RAG workflows.
  • Audit complex model logic and identify data contamination and proofs.
  • Attention to detail in spotting hallucinations and biased outputs.

Responsibilities

  • Review explanations of model architectures, loss functions, and backpropagation for accuracy.
  • Audit ML code and notebooks for efficiency and correctness.
  • Provide high-quality human feedback for RLHF and alignment tasks.
  • Analyze how models handle complex chain-of-thought prompts and identify failures.
  • Benchmark model outputs using technical taxonomies and metrics.

Skills

Prompt engineering
RLHF
Model evaluation
Audit model logic
Neural networks
Python
ML deployment

Education

Bachelor's/Master's/PhD in CS/AI/Robotics or related ML field

Tools

PyTorch
TensorFlow/Keras
NumPy
Pandas
Scikit-learn
Hugging Face Transformers
AWS SageMaker
LangChain
Pinecone / Milvus / Weaviate

Job description

prolificacademicltd is seeking senior AI/ML engineers for a flexible, remote contractor role in the United States. You will review explanations, audit code, and provide human feedback used to align models with human intent.

This is a contractor-style engagement with paid hourly work and a selection process through a short skills assessment. Applicants should have a strong ML background, experience with Transformers/CNNs/RNNs, and hands-on prompt engineering or RLHF.

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