AI Engineer/ML Engineer - Senior Developers - AI Training - Memphis, US

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

Benefits offered by this job

Remote work

Flexible hours

Short onboarding assessment

Job summary

prolificacademicltd is seeking a senior AI/ML engineer to join a paid participant opportunity based in Memphis but remote-friendly. You will apply production ML experience to evaluate frontier LLMs, emphasizing technical judgment, code auditing, and analytical critique rather than model development.

Responsibilities include auditing architectures, loss functions and backpropagation explanations, ML code, and providing feedback for RLHF; tracing reasoning through prompts; and benchmarking outputs

Qualifications

• BS, MS or PhD in CS/AI/Robotics or quantitative ML field.
• Production ML experience building, deploying or fine-tuning ML systems.
• Deep knowledge of Transformer/CNN/RNN architectures and optimizations.
• Hands-on with prompt engineering, RLHF or retrieval-augmented workflows.

Responsibilities

• Scrutinize AI explanations of architectures, loss functions and backpropagation for accuracy.
• Audit ML code, including training loops, data preprocessing and notebooks, flagging issues.
• Provide high-quality feedback for RLHF on alignment, safety and usefulness.
• Trace AI reasoning through chain-of-thought prompts to locate failures.
• Benchmark model outputs using defined metrics and taxonomies.

Skills

Production ML

Transformers

Prompt engineering

RLHF

Code auditing

Analytical reasoning

Neural networks

Education

BS/MS/PhD in CS/AI/Robotics or quantitative field with ML concentration

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

Pinecone/Milvus/Weaviate

SageMaker/Vertex AI

Job description

Role overview

This is a paid participant opportunity for senior AI and machine learning engineers based in Memphis who want to channel their production ML experience into evaluating and refining frontier large language models. The role emphasizes deep technical judgment, code auditing, and analytical critique rather than model development. It suits engineers seeking flexible, remote-friendly work that fits alongside other commitments.

Responsibilities

• Scrutinize AI-generated explanations of architectures, loss functions, and backpropagation for accuracy.
• Audit ML code, including training loops, data preprocessing, and evaluation notebooks, flagging inefficiencies and bugs.
• Deliver high-quality feedback that fuels RLHF processes targeting intent alignment, safety, and helpfulness.
• Trace AI reasoning through chain-of-thought prompts to locate points of logical failure.
• Conduct comparative benchmarks across model outputs using defined taxonomies and quantitative metrics.

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a quantitative field with a machine learning concentration.
• Professional experience building, deploying, or fine-tuning ML systems in production.
• Deep working knowledge of neural network architectures including Transformers, CNNs, RNNs, and associated optimization methods.
• Hands-on involvement with prompt engineering, RLHF, or retrieval-augmented generation workflows.
• Careful analytical eye for catching hallucinations, biased outputs, or mathematically unsound claims in AI-generated material.

Nice to have

• Expert command of PyTorch or TensorFlow/Keras, plus strong Python skills with NumPy, Pandas, and Scikit-learn.
• Experience with Hugging Face Transformers and vector stores such as Pinecone, Milvus, or Weaviate.
• Familiarity with cloud MLOps platforms such as AWS SageMaker, Vertex AI, Weights & Biases, or LangChain.

Benefits and work setup

• Hourly rates up to $80 depending on task complexity and researcher budget.
• Remote work with flexible hours and paid tasks typically under one uninterrupted hour.
• Streamlined onboarding following a short technical assessment.