Senior AI/ML Engineer - Remote, Flexible Tasks

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

Benefits offered by this job

Remote work

Flexible hours

Initial skills assessment

Job summary

prolificacademicltd recruits Senior AI and Machine Learning Engineers to contribute remotely, evaluating and training large language models for AI researchers. You’ll work on short, high-skill tasks and be paid per hour rather than as a full-time employee.

Expect to review model explanations, audit training code and pipelines, and provide structured feedback to refine RLHF frameworks. Strong background in neural nets and practical ML deployment is required.

Qualifications

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
• Hands-on experience building, deploying, or fine-tuning machine learning models in a production environment.
• 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 workflows.
• Ability to audit complex model logic, detect training data contamination, and evaluate mathematical proofs behind ML algorithms.
• High attention to detail when spotting hallucinations, biased outputs, or logical failures in AI-generated technical content.

Responsibilities

• Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit machine learning code and notebooks, including training loops, preprocessing scripts, and evaluation pipelines, for correctness and efficiency.
• Provide structured human feedback used to refine RLHF frameworks and align model behaviour with human intent, safety, and helpfulness.
• Analyse how models navigate complex chain-of-thought prompts and pinpoint where reasoning breaks down.
• Run comparative benchmark tests across model outputs using defined taxonomies and performance metrics.

Skills

ML model development

RLHF

Prompt engineering

Model evaluation

Neural networks

Education

BS/MS/PhD in CS/AI/related field

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

NumPy

Pandas

Scikit-learn

Job description

prolificacademicltd recruits Senior AI and Machine Learning Engineers to contribute remotely, evaluating and training large language models for AI researchers. You’ll work on short, high-skill tasks and be paid per hour rather than as a full-time employee.

Expect to review model explanations, audit training code and pipelines, and provide structured feedback to refine RLHF frameworks. Strong background in neural nets and practical ML deployment is required.