Senior AI Engineer (Contractor) - Remote, Flexible, $80/hr

prolificacademicltd; United States; Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible engagement

Hourly pay

Job summary

prolificacademicltd invites senior AI/ML engineers to join a flexible, remote contractor network for evaluating and aligning large language models. Tasks include reviewing model explanations, auditing code, and delivering high-quality human feedback used in RLHF, with emphasis on safe and helpful model behavior.

Candidates should have advanced degrees in CS/AI and production ML experience, with hands-on work on Transformers, prompting, and data integrity.

Qualifications

• BS, MS, or PhD in Computer Science/AI/Robotics or related quantitative field.
• Experience building, deploying, or fine‑tuning ML models in production.
• Hands-on with Transformers, CNNs, RNNs and optimization techniques.

Responsibilities

• Review AI explanations of architectures, loss functions, and backpropagation for technical accuracy.
• Audit ML code and notebooks for efficiency and correctness.
• Provide high-quality human feedback for RLHF and alignment processes.
• Analyze how models navigate chain-of-thought prompts and pinpoint failures.
• Benchmark model outputs using technical taxonomies and metrics.

Skills

ML Expertise

Prompt engineering

RLHF

Model evaluation

Attention to detail

Education

PhD / MS in CS/ML

Production ML experience

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

AWS SageMaker

LangChain

Pinecone/Milvus/Weaviate

Job description

prolificacademicltd invites senior AI/ML engineers to join a flexible, remote contractor network for evaluating and aligning large language models. Tasks include reviewing model explanations, auditing code, and delivering high-quality human feedback used in RLHF, with emphasis on safe and helpful model behavior.

Candidates should have advanced degrees in CS/AI and production ML experience, with hands-on work on Transformers, prompting, and data integrity.