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

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

Benefits offered by this job

Remote participation

Flexible hours

Competitive pay up to $80/h

Job summary

prolificacademic ltd is seeking experienced AI/ML engineers for remote engagement in evaluating and refining next-generation language models. You will review explanations of architectures and loss functions, audit training loops, and provide high-quality feedback for RLHF workflows from home in a flexible, paid setting.

Ideal candidates have ML production experience, familiarity with transformers and modern optimization, and a strong eye for detecting hallucinations and biased outputs.

Qualifications

• BS/MS/PhD in relevant quantitative field with ML focus
• Hands-on experience building, deploying, or fine-tuning ML models
• Proficiency with neural nets: Transformers, CNNs, RNNs and optimization tech
• Experience with prompt engineering, RLHF or RAG workflows
• Strong ability to audit complex model logic and proofs
• Attention to hallucinations and biased outputs in AI content

Responsibilities

• Review AI explanations of model architectures, loss functions and backpropagation for accuracy
• Audit ML code, notebooks, training loops and evaluation pipelines
• Provide high-quality human feedback for RLHF workflows
• Evaluate chain-of-thought reasoning for reliability
• Benchmark model outputs against technical taxonomies and metrics

Skills

ML model review

Code auditing

RLHF

Prompt engineering

Chain-of-thought evaluation

Analytics

Education

BS in Computer Science or related field

MS in AI/ML or related field

PhD in CS/AI

Tools

PyTorch

TensorFlow/Keras

NumPy

Pandas

Hugging Face Transformers

AWS SageMaker

LangChain

Pinecone/Milvus/Weaviate

Job description

Role overview

This opportunity invites experienced AI and machine learning engineers to contribute to training and evaluating next-generation large language models. Work is performed remotely as part of an expert network, where participants apply deep technical knowledge to review, audit, and refine AI outputs. The arrangement suits independent professionals based in or near Omaha who want flexible, paid engagements focused on advancing model quality.

Responsibilities

• Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy
• Audit machine learning code and notebooks, including training loops, data preprocessing scripts, and evaluation pipelines
• Provide high-quality human feedback used in reinforcement learning from human feedback (RLHF) workflows to align model behavior with human intent
• Critically evaluate chain-of-thought reasoning, identifying where AI model logic breaks down or produces flawed outputs
• Conduct comparative benchmarking of model outputs against defined technical taxonomies and performance metrics

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a machine learning focus
• Hands-on experience building, deploying, or fine-tuning ML models in production environments
• Professional-level understanding of neural network architectures such as Transformers, CNNs, and RNNs, plus modern optimization techniques
• Practical experience with prompt engineering, RLHF, or retrieval-augmented generation (RAG) workflows
• Strong analytical rigor with the ability to audit complex model logic, detect training data contamination, and evaluate mathematical proofs
• Attention to detail in identifying hallucinations, biased outputs, and logical failures in AI-generated technical content

Nice to have

• Expert proficiency with PyTorch or TensorFlow/Keras
• Advanced Python skills including NumPy, Pandas, Scikit-learn, and Hugging Face Transformers
• Familiarity with cloud MLOps tools such as AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain
• Experience with vector databases like Pinecone, Milvus, or Weaviate for RAG evaluation

Benefits and work setup

• Remote participation from home with flexible hours
• Competitive hourly rates up to $80 per hour, depending on the task
• Assignments typically require up to one hour of uninterrupted work, with many shorter engagements
• Quick onboarding after passing a short skills assessment