AI Engineer/ML Engineer - Senior Developers - AI Training - UK

Hidden Jobs; United States; Remote; USD 66,000 - 110,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

No minimum commitment

Job summary

prolificacademicltd is seeking a senior contract AI/ML engineer to train, evaluate, and provide expert feedback on large language models. You will work in an expert contributor network on one-hour sessions, applying production-grade ML knowledge and RLHF workflows.

Applicants undergo a brief 10-15 minute skills assessment before onboarding. The role offers fully remote work with flexible hours and hourly pay shown before commitment.

Qualifications

• Bachelor's, Master's, or PhD in CS, AI, robotics or related ML field.
• Proven production experience building, deploying, or fine-tuning ML models.
• Deep understanding of neural networks (Transformers/CNNs/RNNs) and optimization.
• Hands-on experience with prompt engineering, RAG, or RLHF workflows.
• Ability to audit model logic, detect data contamination, and assess proofs.
• Strong analytical eye for hallucinations and biased outputs.

Responsibilities

• Critique AI explanations of architectures, losses, and backpropagation.
• Review ML-specific code, training loops, preprocessing scripts, notebooks.
• Deliver high-quality human feedback to improve RLHF alignment.
• Stress-test reasoning on chain-of-thought prompts and flag issues.
• Benchmark model outputs against defined technical metrics.

Skills

ML model training

Prompt engineering

RLHF workflows

Neural networks

Code review

Education

Bachelor's / Master's / PhD in CS / AI / Robotics or related ML field

Tools

PyTorch

TensorFlow/Keras

LangChain

Weaviate / Pinecone

Job description

Role overview

A senior contract opportunity for experienced AI and machine learning engineers to train and evaluate large language models through focused, paid technical tasks. Successful applicants join an expert contributor network and work on one-hour sessions drawing on production-grade ML knowledge. Researchers typically offer up to $80 per hour for this specialist work, and entry follows a short 10-15 minute skills assessment.

Responsibilities

• Critique AI-generated explanations of model architectures, loss functions, and backpropagation for technical correctness
• Review ML-specific code, including training loops, preprocessing scripts, and evaluation notebooks
• Deliver the high-quality human feedback that improves RLHF-driven alignment with intent, safety, and helpfulness
• Stress-test AI reasoning on complex chain-of-thought prompts and flag breakdown points
• Carry out comparative benchmarking of model outputs against defined technical taxonomies and performance metrics

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative ML-focused discipline
• Proven production experience building, deploying, or fine-tuning ML models
• Deep understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques
• Hands-on experience with prompt engineering, retrieval-augmented generation, or RLHF workflows
• Skill in auditing complex model logic, detecting training-data contamination, and evaluating mathematical proofs behind ML algorithms
• Strong analytical eye for hallucinations, biased outputs, and logical failures in AI-generated content

Nice to have

• Expert proficiency with PyTorch or TensorFlow/Keras
• Advanced Python (NumPy, Pandas, Scikit-learn) plus Hugging Face Transformers experience
• Exposure to AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain
• Working knowledge of Pinecone, Milvus, or Weaviate for RAG evaluation

Benefits and work setup

• Fully remote with flexible hours and no minimum commitment
• Onboarding in around 15 minutes once the assessment is passed
• Hourly rates up to $80, with task duration and pay shown before commitment
• Location: United Kingdom