AI & ML Engineer for LLM Training — Remote

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

Benefits offered by this job

Work from home

Flexible hours

Job summary

Prolific is seeking AI and Machine Learning Engineers to join its Expert Network to help train and evaluate the next generation of LLMs from home. A quick skill assessment will follow to verify capabilities for paid tasks.

Roles involve auditing code, refining RLHF frameworks, and analyzing model reasoning with strong ML and Python expertise; remote work is supported with competitive pay.

Qualifications

• Education/experience in ML with focus on training or fine-tuning models.
• Hands-on experience deploying ML models in production environments.
• Strong understanding of transformers, RLHF, and CoT reasoning.

Responsibilities

• Evaluate LLM architecture logic and assess technical accuracy.
• Audit ML training code and notebooks for efficiency and correctness.
• Refine RLHF frameworks to align models with user intent, safety, and usefulness.
• Analyze model reasoning and identify failure points in CoT prompts.
• Benchmark model outputs using technical metrics and taxonomy comparisons.

Skills

ML model training

Deep learning

RLHF

Prompt engineering

CoT evaluation

Model auditing

Data quality analysis

Education

PhD in CS/AI/Robotics

MS in AI/ML

BS in CS/Math

Tools

PyTorch

TensorFlow/Keras

Python

SageMaker

Vertex AI

Weights & Biases

LangChain

Pinecone

Job description

Prolific is seeking AI and Machine Learning Engineers to join its Expert Network to help train and evaluate the next generation of LLMs from home. A quick skill assessment will follow to verify capabilities for paid tasks.

Roles involve auditing code, refining RLHF frameworks, and analyzing model reasoning with strong ML and Python expertise; remote work is supported with competitive pay.