AI Engineer/ML Engineer - Senior Developers - AI Training - Oklahoma City, US

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

Benefits offered by this job

Remote engagement

Hourly compensation up to $80

Job summary

prolificacademicltd seeks a senior AI/ML engineer to join an expert contributor network supporting research teams training large language models. The role is remote, project-based, and centered around Oklahoma City, US, applying deep technical expertise to shape model behavior.

You will evaluate explanations, audit production ML code, and provide feedback to strengthen RLHF workflows. Expect work on prompts, RLHF, and benchmarking with careful attention to bias and reliability.

Qualifications

• BS/MS/PhD in Computer Science, Artificial Intelligence, Robotics, or related quantitative discipline with ML focus.
• Demonstrated experience building, deploying, or fine-tuning ML models in production settings.
• Working command of modern neural architectures (Transformers, CNNs, RNNs) and their optimization techniques.
• Hands-on experience with LLM-specific workflows such as prompt engineering, RLHF, or RAG.
• Capacity to audit complex model logic, identify training data contamination, and reason about algorithmic proofs.
• Meticulous attention to detail for catching subtle errors and biased outputs.

Responsibilities

• Evaluate AI-generated explanations of architectures, loss functions, and backpropagation against ground-truth ML concepts.
• Audit production-grade ML code, including training loops, preprocessing pipelines, and evaluation notebooks.
• Provide structured human feedback to strengthen RLHF alignment workflows.
• Stress-test chain-of-thought reasoning and pinpoint where models produce hallucinations, biases, or logical failures.
• Design and run comparative benchmarks aligned to specific technical taxonomies and performance criteria.

Skills

ML production

LLM workflows

Model auditing

Attention to detail

Deep technical expertise

Education

BS in CS/AI/Related

MS in CS/AI/Related

PhD in CS/AI/Related

Tools

PyTorch

TensorFlow/Keras

Python (NumPy, Pandas, Scikit-learn)

Hugging Face Transformers

Job description

Role overview

Work as a senior AI/ML engineer within an expert contributor network supporting research teams that train and evaluate large language models. The position is remote and project-based, based around Oklahoma City, US, and focuses on applying deep technical expertise to shape model behaviour.

Responsibilities

• Evaluate AI-generated explanations of architectures, loss functions, and backpropagation against ground-truth ML concepts.


• Audit production-grade ML code, including training loops, preprocessing pipelines, and evaluation notebooks.


• Provide structured human feedback to strengthen RLHF alignment workflows.


• Stress-test chain-of-thought reasoning and pinpoint where models produce hallucinations, biases, or logical failures.


• Design and run comparative benchmarks aligned to specific technical taxonomies and performance criteria.

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative discipline with an ML focus.


• Demonstrated experience building, deploying, or fine-tuning ML models in production settings.


• Working command of modern neural architectures (Transformers, CNNs, RNNs) and their optimization techniques.


• Hands-on experience with LLM-specific workflows such as prompt engineering, RLHF, or RAG.


• Capacity to audit complex model logic, identify training data contamination, and reason about algorithmic proofs.


• Meticulous attention to detail for catching subtle errors and biased outputs.

Nice to have

• Strong proficiency in PyTorch or TensorFlow/Keras, plus advanced Python (NumPy, Pandas, Scikit-learn) and Hugging Face Transformers.


• Experience with cloud ML services (AWS SageMaker, Google Vertex AI) and tooling such as Weights & Biases, LangChain, Pinecone, Milvus, or Weaviate.

Benefits and work setup

• Remote, flexible contributor engagement with hourly compensation typically reaching up to $80 per hour for this skill profile.


• Tasks are usually scoped to about an hour of focused work, with many running shorter.