AI & ML Engineer - Remote, Training & Evaluation

Prolific; United States; A distancia; USD 91.000 - 129.000; Jornada completa

Descripción de la vacante

Prolific is seeking AI & Machine Learning Engineers to join its Expert Network to train and evaluate the next generation of LLMs with deep technical expertise. If selected, you’ll complete a brief test and may join as a paid participant to work on AI model tasks from home.

Roles involve evaluating architectures, auditing code, refining RLHF frameworks, analyzing model reasoning, and benchmarking performance. Candidates should hold a CS/AI/Robotics degree and have production ML experience.

Formación

• Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
• Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
• Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
• LLM Specialization: hands‑on experience with Prompt Engineering, RLHF, or RAG workflows.
• Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
• Analytical Critique: high attention to detail in spotting hallucinations, biased outputs, or logical failures in AI-generated technical content.

Responsabilidades

• Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit Code & Notebooks: validate ML-specific code for efficiency and correctness.
• Refine RLHF Frameworks: provide high-quality human feedback to align models with human intent, safety, and helpfulness.
• Analyze Model Reasoning: assess how an AI model navigates chain-of-thought prompts and identify reasoning breakdowns.
• Benchmark Performance: conduct comparative testing between model outputs using technical taxonomies and metrics.

Conocimientos

Deep learning

ML model deployment

Prompt engineering

RLHF/RAG workflows

Model evaluation

Auditing model logic

Educación

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

Herramientas

PyTorch

TensorFlow/Keras

Hugging Face Transformers

AWS SageMaker

Vertex AI

Descripción del empleo

Prolific is seeking AI & Machine Learning Engineers to join its Expert Network to train and evaluate the next generation of LLMs with deep technical expertise. If selected, you’ll complete a brief test and may join as a paid participant to work on AI model tasks from home.

Roles involve evaluating architectures, auditing code, refining RLHF frameworks, analyzing model reasoning, and benchmarking performance. Candidates should hold a CS/AI/Robotics degree and have production ML experience.