Remote AI/ML Engineer — Train & Evaluate LLMs

Prolific; United States; Remote; USD 83,000 - 110,000; Part time

Benefits offered by this job

Competitive pay rates

Flexible hours

Work from home

Job summary

Prolific is seeking AI and Machine Learning Engineers to join its Expert Network to train and evaluate cutting‑edge models. You may complete a brief test and, if successful, join as a participant paid to work on AI tasks.

Responsibilities include auditing architectures, refining RLHF frameworks, and analyzing model reasoning with a focus on accuracy and safety. Strong ML background and hands‑on neural network experience are required.

Qualifications

• BS/MS/PhD in CS/AI/Robotics or related field with ML focus.
• Experience building, deploying, or fine-tuning ML models in production.
• Strong understanding of neural networks and transformers.
• Hands-on experience with RLHF, prompt engineering, or RAG workflows.
• Ability to audit model logic and detect data contamination.

Responsibilities

• Evaluate architecture explanations, loss functions, and backpropagation for accuracy.
• Audit ML code and notebooks for efficiency and correctness.
• Refine RLHF frameworks to align models with intent and safety.
• Analyze model reasoning and CoT prompts to identify failures.
• Benchmark model outputs using defined metrics.

Skills

ML model development

Deep learning

LLM specialization

Prompt engineering

RLHF

Analytical critique

Code auditing

Education

BS/MS/PhD in CS/AI/Robotics

Tools

PyTorch

TensorFlow

Keras

Hugging Face Transformers

Weights & Biases

LangChain

Pinecone

Milvus

Weaviate

Job description

Prolific is seeking AI and Machine Learning Engineers to join its Expert Network to train and evaluate cutting‑edge models. You may complete a brief test and, if successful, join as a participant paid to work on AI tasks.

Responsibilities include auditing architectures, refining RLHF frameworks, and analyzing model reasoning with a focus on accuracy and safety. Strong ML background and hands‑on neural network experience are required.