Senior AI Engineer — Remote, Flexible Hours, RLHF & LLM

prolificacademicltd

United States

Remote

USD 91,000 - 129,000

Part time

14 days+

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Job summary

Prolific Academic Ltd. seeks senior AI/ML engineers to join an expert network contributing to large language model training and evaluation. Engagement is task-based, with participants paid per study for applying deep technical judgment to model outputs and ML artifacts.

The work shapes how next-generation AI systems reason, code, and align with human intent. Roles are fully remote with flexible hours and quick onboarding.

Qualifications

  • BS, MS, or PhD in CS/AI/Robotics or related quantitative field with ML focus.
  • Professional experience building, deploying, or fine-tuning ML models in production.
  • Working knowledge of neural networks including Transformers, CNNs, and RNNs with optimization techniques.
  • Hands-on with prompt engineering, RLHF, or retrieval-augmented generation (RAG).
  • Ability to audit model logic, surface data contamination, and evaluate proofs behind ML algorithms.
  • Attention to detail to catch hallucinations, biased outputs, and logical failures.

Responsibilities

  • Assess explanations of neural architectures for technical correctness.
  • Validate training loops, preprocessing scripts, and evaluation notebooks for efficiency and correctness.
  • Provide structured feedback powering RLHF pipelines.
  • Trace how models handle chain-of-thought prompts and identify breakdowns.
  • Benchmark model outputs against defined technical taxonomies and metrics.

Skills

Transformers
CNNs
RNNs
Prompt engineering
RLHF
RAG
PyTorch
TensorFlow
Keras

Education

BS/MS/PhD in CS/AI
PhD in ML

Tools

PyTorch
TensorFlow
Keras
Hugging Face
Weights & Biases
LangChain
Pinecone

Job description

Prolific Academic Ltd. seeks senior AI/ML engineers to join an expert network contributing to large language model training and evaluation. Engagement is task-based, with participants paid per study for applying deep technical judgment to model outputs and ML artifacts.

The work shapes how next-generation AI systems reason, code, and align with human intent. Roles are fully remote with flexible hours and quick onboarding.

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