Senior AI/ML Engineer — Remote Research & Evaluation

prolificacademicltd; United States; Remote; USD 66,000 - 110,000; Full time

Benefits offered by this job

Fully remote

Flexible scheduling

Short sessions

Job summary

prolificAcademicLtd seeks seasoned machine learning engineers to audit AI-generated content, code, and reasoning in short remote sessions. You will apply deep technical judgment to evaluate explanations, training loops, and prompts within flexible project-based work.

Requirements include advanced degrees in CS/AI/related fields and production ML experience. Remote work is fully supported with sessions typically up to an hour, offering high-impact research contributions.

Qualifications

• BS, MS, or PhD in Computer Science, AI, Robotics, or related quantitative discipline with an ML focus
• Production-level experience building, deploying, or fine-tuning ML models
• Deep understanding of neural architectures (Transformers/CNNs/RNNs) and modern optimization methods
• Practical exposure to prompt engineering, RLHF, or retrieval-augmented generation workflows
• Meticulous attention to detail for catching hallucinations, bias, and logical flaws in AI output
• Based in the Charlotte area

Responsibilities

• Evaluate the technical accuracy of AI explanations covering model architectures, loss functions, and backpropagation
• Audit ML codebases, training loops, and evaluation notebooks for correctness and performance
• Deliver high-quality human feedback that supports RLHF pipelines
• Stress-test model reasoning on complex chain-of-thought prompts and document where logic breaks down
• Compare outputs across models using defined taxonomies and performance benchmarks

Skills

ML engineering

Prompt engineering

RLHF

Model auditing

Attention to detail

Education

BS/MS/PhD in CS/AI/Robotics or related with ML focus

Tools

PyTorch

TensorFlow

Keras

Hugging Face Transformers

AWS SageMaker

Google Vertex AI

Weights & Biases

LangChain

Pinecone

Milvus

Weaviate

Job description

prolificAcademicLtd seeks seasoned machine learning engineers to audit AI-generated content, code, and reasoning in short remote sessions. You will apply deep technical judgment to evaluate explanations, training loops, and prompts within flexible project-based work.

Requirements include advanced degrees in CS/AI/related fields and production ML experience. Remote work is fully supported with sessions typically up to an hour, offering high-impact research contributions.