AI Engineer/ML Engineer - Senior Developers - AI Training (Fully Remote)

Prolific

Deutschland

Remote

EUR 57.444 - 95.740

Vollzeit

14 Tage+

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Benefits dieser Stelle

Remote work
Competitive pay
Ethical data sourcing

Zusammenfassung

Prolific is seeking contributors to join its Expert Network to train and evaluate next-generation LLMs. Tasks are paid hourly with rates up to $80, offering high flexibility for remote work.

You will evaluate model architectures, audit code, and refine RLHF frameworks for AI alignment, while analyzing model reasoning and benchmarking across technical taxonomies. This role suits researchers with deep ML knowledge and a passion for ethical data collection.

Qualifikationen

  • Experience building and evaluating LLMs.
  • Audit code and refine RLHF frameworks.
  • Advanced Python skills and ML tooling.

Aufgaben

  • Train and evaluate next-gen LLMs.
  • Evaluate architectures, benchmark performance.
  • Analyze model reasoning and data quality.

Kenntnisse

Python programming
PyTorch
TensorFlow/Keras

Tools

AWS SageMaker
Hugging Face Transformers

Jobbeschreibung

  • Join the Expert Network to train and evaluate next-generation LLMs using deep technical expertise.
  • Complete paid tasks requiring one hour of uninterrupted work, with rates up to $80 per hour.

Technical Focus:

  • Evaluate model architectures, audit code, and refine RLHF frameworks for AI alignment.
  • Analyze model reasoning and benchmark performance across technical taxonomies.

Key Technologies:

  • Expert proficiency in PyTorch or TensorFlow/Keras and advanced Python.
  • Experience with cloud platforms like AWS SageMaker and tools like Hugging Face Transformers.

Why Join:

  • Influence AI models of the future with competitive pay and flexible remote work.
  • Contribute to ethically sourced human data for developing accurate and aligned AI systems.
Prolific

Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.

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