Remote ML Research Engineer (Hourly, RLHF & Model Alignment)

prolificacademicltd; United States; Remote; USD 91,000 - 129,000; Part time

Benefits offered by this job

Hourly pay up to $80

Fully remote work

Flexible scheduling

Fast onboarding

Job summary

prolificacademicltd seeks senior AI/ML engineers for discrete, paid studies to train and evaluate large language models. Work is hourly, fully remote, and requires deep ML expertise for high-quality feedback in alignment pipelines.

Responsibilities include auditing explanations, reviewing training code, providing RLHF-based ratings, and benchmarking model outputs. Studies vary in length and complexity.

Qualifications

• BS, MS or PhD in Computer Science, AI, Robotics or related quantitative field with ML focus.
• Professional experience building, deploying, or fine-tuning ML models in production.
• Strong grasp of neural nets including Transformers, CNNs, RNNs and their optimization.
• Hands-on with prompt engineering, RLHF, or retrieval-augmented generation (RAG).
• Able to audit complex model logic and detect data contamination and ML math foundations.
• Sharp analytical eye for hallucinations, biased outputs, and logical failures.

Responsibilities

• Audit AI-generated explanations of neural architectures, loss functions, and backpropagation for technical accuracy.
• Review ML code and notebooks, including training loops, data preprocessing scripts, and evaluation routines.
• Contribute high-quality human ratings used in RLHF workflows to steer models toward safer outputs.
• Trace how a model navigates chain-of-thought prompts and identify reasoning breakdowns.
• Run benchmarks comparing model outputs against defined taxonomies and metrics.

Skills

ML model deployment

Transformer/RNN/CNN knowledge

Prompt engineering

RLHF/RAG familiarity

Model auditing & debugging

Education

BS/MS/PhD in CS/AI/Robotics or related quant.

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

AWS SageMaker / Vertex AI

Weights & Biases / LangChain

Vector databases (Pinecone/Milvus/Weaviate)

Job description

prolificacademicltd seeks senior AI/ML engineers for discrete, paid studies to train and evaluate large language models. Work is hourly, fully remote, and requires deep ML expertise for high-quality feedback in alignment pipelines.

Responsibilities include auditing explanations, reviewing training code, providing RLHF-based ratings, and benchmarking model outputs. Studies vary in length and complexity.