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

prolificacademicltd

USA

Remote

USD 83.000 - 110.000

Teilzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Benefits dieser Stelle

Fully remote
Flexible hours
Fast onboarding in minutes

Zusammenfassung

Prolific Academic Ltd is recruiting a senior AI/ML engineer for a contract role to train and evaluate large language models via focused one-hour tasks. You will join an expert contributor network, provide precise feedback, and help improve RLHF alignment across complex prompts.

Experience with Transformers, prompt engineering, and auditing model logic is essential. This fully remote opportunity offers flexible hours and onboarding in minutes after a quick skills assessment.

Qualifikationen

  • Bachelor's, Master's or PhD in Computer Science, 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, retrieval-augmented generation, or RLHF workflows.
  • Ability to audit complex model logic, detect data contamination, and evaluate ML proofs.

Aufgaben

  • Critique AI-generated explanations of model architectures, loss functions, and backpropagation for correctness.
  • Review ML-focused code, including training loops, preprocessing scripts, and evaluation notebooks.
  • Deliver high-quality feedback to improve RLHF-driven alignment with intent, safety, and helpfullness.
  • Stress-test AI reasoning on chain-of-thought prompts and flag breakdown points.
  • Benchmark model outputs against defined taxonomies and performance metrics.

Kenntnisse

ML knowledge
Prompt engineering
RLHF workflows
Auditing model logic
Analytical reasoning on AI outputs

Ausbildung

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

Tools

PyTorch
TensorFlow/Keras
NumPy
Pandas
Scikit-learn
Hugging Face Transformers
AWS SageMaker
Google Cloud Vertex AI
Weights & Biases
LangChain
Pinecone
Milvus
Weaviate

Jobbeschreibung

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
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