Open roles building retrieval-augmented LLM applications.
Gig-style engagement: ML/AI engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs — auditing model reasoning, ML code, and RLHF quality via flexible hourly tasks paying up to $80/hr. Core tech: Python, PyTorch/TensorFlow, Hugging Face Transformers, RLHF/RAG workflows.
Paid participant gig via Prolific's Expert Network: senior AI/ML engineers work remotely to train and evaluate LLMs — auditing model reasoning and code, refining RLHF feedback, and benchmarking outputs — earning up to $80/hour. Core stack: Python, PyTorch/TensorFlow, Hugging Face, RLHF/RAG workflows.
Prolific is recruiting senior AI/ML engineers as paid participants in its Expert Network to train and evaluate LLMs: auditing model logic and ML code, providing RLHF feedback, and benchmarking outputs. Core stack: Python, PyTorch/TensorFlow, Hugging Face, RLHF/RAG workflows; pays up to $80/hour, remote from Austin, US.
AI & Machine Learning Engineer - AI Training About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers,…
Join Prolific's Expert Network as a paid participant helping train and evaluate LLMs: reviewing model architecture explanations, auditing ML code/notebooks, providing RLHF feedback, and benchmarking model outputs. Requires strong Python and PyTorch/TensorFlow skills plus LLM experience; pays up to $80/hour, remote (Belfast, UK).
Senior AI/ML engineers join Prolific's Expert Network as paid remote participants to train and evaluate LLMs — auditing model logic and code, providing RLHF feedback, and assessing chain-of-thought reasoning. Requires deep learning expertise (PyTorch/TensorFlow, Python, RLHF/RAG); pays up to $80/hour.
Join Prolific's Expert Network as a paid AI/ML expert who trains and evaluates LLMs: reviewing model architecture explanations, auditing ML code and notebooks, providing RLHF feedback, and benchmarking model reasoning. Work is remote with flexible hours using PyTorch/TensorFlow, Python, and Hugging Face tooling, paying up to $80/hour.
Paid participant role on Prolific's Expert Network: senior AI/ML engineers train and evaluate LLMs by auditing model logic and ML code, giving RLHF feedback, analyzing reasoning, and benchmarking outputs, earning up to $80/hour on flexible remote tasks. Core stack: Python, PyTorch/TensorFlow, Hugging Face, and MLOps/RAG tooling.
AI/ML engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs — auditing model reasoning and code, refining RLHF feedback, and benchmarking outputs — working remotely from the UK at rates up to $80/hour. Core stack includes Python, PyTorch/TensorFlow, Hugging Face, and cloud MLOps tools.
Join Prolific's Expert Network as a paid AI/ML participant who trains and evaluates LLMs: auditing AI-generated code and model explanations, providing RLHF feedback, analyzing model reasoning, and benchmarking outputs. Requires deep Python and PyTorch/TensorFlow skills plus LLM workflow experience (prompting, RLHF, RAG).
Join Prolific's Expert Network as a paid participant who trains and evaluates LLMs: auditing AI-generated code and reasoning, refining RLHF feedback, and benchmarking model outputs remotely. Requires strong ML expertise (PyTorch/TensorFlow, Python, LLM workflows); pays up to $80 per hour.
Prolific is recruiting senior AI/ML engineers into its paid Expert Network to train and evaluate LLMs: reviewing model reasoning and architectures, auditing ML code and notebooks, and providing RLHF feedback at up to $80/hour. Core stack: Python, PyTorch/TensorFlow, Hugging Face, cloud MLOps, and vector databases.
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