Senior AI Engineer - Remote RLHF & Model Alignment

prolificacademicltd; United States; Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Hourly pay up to $80

Job summary

Prolific Academic Ltd. is seeking experienced AI/ML engineers to join a paid expert network focused on training and evaluating large language models. You will audit code, assess model outputs, and provide structured feedback to improve alignment and reasoning.

This is a flexible, remote, task-based role based in the United States with hourly compensation. Ideal candidates have strong ML background, experience with Transformers, RLHF, and prompt engineering.

Qualifications

• PhD/MS/BS in CS/AI or related quantitative field with ML focus.
• Hands-on experience deploying or fine-tuning ML models in production.
• Knowledge of neural architectures (Transformers, CNNs, RNNs) and optimization techniques.
• Experience with RLHF, prompt engineering, or RAG workflows.
• Ability to reason about ML proofs and audit complex model logic.

Responsibilities

• Review AI-generated explanations of model architectures, losses, and backpropagation for technical accuracy.
• Audit ML code/notebooks for correctness and efficiency.
• Provide structured human feedback to refine RLHF processes.
• Evaluate model reasoning through chain-of-thought prompts to find breakdowns.
• Run benchmarking across outputs against defined criteria.
• Identify hallucinations, bias, data contamination, and flawed reasoning.

Skills

ML model deployment

Transformer/CNN/RNN knowledge

Prompt engineering RLHF/RAG

Model evaluation and debugging

Education

PhD in CS/AI/related field

MS in CS/AI/related field

Tools

PyTorch

TensorFlow/Keras

AWS SageMaker

LangChain

Vector databases (Pinecone/Milvus/Weaviate)

Job description

Prolific Academic Ltd. is seeking experienced AI/ML engineers to join a paid expert network focused on training and evaluating large language models. You will audit code, assess model outputs, and provide structured feedback to improve alignment and reasoning.

This is a flexible, remote, task-based role based in the United States with hourly compensation. Ideal candidates have strong ML background, experience with Transformers, RLHF, and prompt engineering.