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

prolificacademicltd; United States; Remote; USD 83,000 - 110,000; Full time

Benefits offered by this job

Remote-friendly

Flexible scheduling

Paid assignments

Job summary

prolificacademic ltd is seeking senior AI and ML engineers for a paid participant opportunity in Nashville. The role emphasizes deep technical evaluation of model reasoning, code, and explanations, with flexible, remote-friendly engagement that complements other careers.

The work involves critiquing AI-produced explanations, validating training loops, and contributing structured feedback for RLHF efforts. Experience with transformers and prompt engineering is highly valued, with remote-friendly

Qualifications

• Advanced degrees with ML focus and production experience
• Deep expertise in neural networks (Transformers/CNNs/RNNs) and optimization
• Hands-on exposure to RLHF or retrieval-augmented generation workflows
• Attention to detail in spotting hallucinations and biased outputs in AI content

Responsibilities

• Review AI-produced explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Validate ML code, including training loops, data preprocessing scripts, and evaluation notebooks, for correctness and efficiency.
• Supply structured human feedback that supports RLHF efforts to align models with user intent, safety, and helpfulness.
• Diagnose where AI chain-of-thought reasoning collapses and document those failure modes.
• Benchmark competing model outputs against established technical taxonomies and quantitative metrics.

Skills

ML evaluation

prompt engineering

RAG workflows

model debugging

Education

BS/MS/PhD in CS/AI/Robotics

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

Weaviate/Pinecone/Milvus

Cloud MLOps (SageMaker/Vertex AI)

Job description

This is a paid participant opportunity for senior AI and machine learning engineers in Nashville who want to apply deep technical expertise to training and evaluating the next wave of large language models. The role is analytical and evaluation-driven, focused on critiquing model reasoning and code rather than shipping new ML systems. It is well suited to practitioners looking for flexible, remote-friendly expert work alongside their main careers.

Responsibilities

• Review AI-produced explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Validate ML code, including training loops, data preprocessing scripts, and evaluation notebooks, for correctness and efficiency.
• Supply structured human feedback that supports RLHF efforts to align models with user intent, safety, and helpfulness.
• Diagnose where AI chain-of-thought reasoning collapses and document those failure modes.
• Benchmark competing model outputs against established technical taxonomies and quantitative metrics.

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a closely related quantitative discipline with an ML focus.
• Production experience building, deploying, or fine-tuning machine learning models.
• Deep expertise in neural network architectures such as Transformers, CNNs, RNNs, and their optimization regimes.
• Hands‑on exposure to prompt engineering, RLHF, or retrieval-augmented generation (RAG) workflows.
• Sharp attention to detail for spotting hallucinations, biased outputs, contamination, or flawed proofs in AI-generated content.

Nice to have

• Advanced proficiency with PyTorch or TensorFlow/Keras, plus expert Python across NumPy, Pandas, and Scikit-learn.
• Familiarity with Hugging Face Transformers and vector databases such as Pinecone, Milvus, or Weaviate.
• Experience with cloud MLOps tooling like AWS SageMaker, Vertex AI, Weights & Biases, or LangChain.

Benefits and work setup

• Pay rates reaching up to $80 per hour for tasks that require this expertise.
• Fully remote with flexible scheduling and paid assignments generally under one uninterrupted hour.
• Quick onboarding once a brief technical assessment is passed.