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Remote gig-style role: senior AI/ML engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs — auditing model logic and code, refining RLHF feedback, and benchmarking outputs. Core stack is Python, PyTorch/TensorFlow, Hugging Face, and cloud/MLOps tooling; pays up to $80/hour.
Gig-style role joining Prolific's Expert Network as a paid participant to train and evaluate LLMs: reviewing AI-generated ML explanations, auditing code/notebooks, providing RLHF feedback, and benchmarking model outputs. Requires strong ML/DL expertise (PyTorch or TensorFlow, Python, LLM workflows); pays up to $80/hour, fully remote.
Join Prolific's Expert Network as a paid participant training and evaluating LLMs: auditing model architectures and ML code, providing RLHF feedback, and benchmarking model reasoning. Work is remote, flexible, and pays up to $80/hour; core stack is Python, PyTorch/TensorFlow, Hugging Face, and RAG/RLHF workflows.
Join Prolific's Expert Network as a paid participant training and evaluating LLMs: auditing ML code and model reasoning, providing RLHF feedback, and benchmarking model outputs on flexible, remote, task-based work paying up to $80/hour. Core stack: Python, PyTorch/TensorFlow, Hugging Face, and cloud MLOps tools.
Join Prolific's Expert Network as a paid AI/ML engineer-participant helping train and evaluate LLMs: auditing model architectures and code, refining RLHF feedback, and benchmarking outputs. Work is remote, flexible-hours, and pays up to $80/hour, using Python, PyTorch/TensorFlow, Hugging Face, and LLM tooling like LangChain.
Join Prolific's Expert Network as a paid participant training and evaluating LLMs: auditing AI-generated explanations and ML code, providing RLHF feedback, and benchmarking model reasoning. Requires senior ML engineering expertise (PyTorch/TensorFlow, Python, RLHF/RAG) and pays up to $80/hour for flexible remote tasks.
Prolific is recruiting senior AI/ML engineers as paid participants in its Expert Network to train and evaluate LLMs — auditing model reasoning and code, refining RLHF feedback, and benchmarking outputs — remotely, at up to $80/hour. Core stack: PyTorch or TensorFlow/Keras, Python, Hugging Face Transformers, and cloud MLOps tools.
Join Prolific's Expert Network as a paid participant training and evaluating LLMs: reviewing AI-generated model explanations, auditing ML code and notebooks, providing RLHF feedback, and benchmarking model outputs. Work is remote and flexible, paying up to $80/hour, using Python, PyTorch/TensorFlow, Hugging Face, and RAG/RLHF tooling.
Paid research participation rather than a standard job: AI/ML engineering, product, or design leaders who make decisions about workflow management tools join Prolific's participant pool, completing a paid screener and then AI-moderated interviews and surveys about tool selection, earning up to $200/hour. Key tools include Jira, Linear, Azure DevOps, and GitHub Projects.
A freelance, remote opportunity to join Prolific as a paid research participant: experienced AI/ML engineering leaders and decision-makers complete screeners, AI-moderated interviews, and surveys about workflow management tools (Jira, Linear, Asana, etc.), earning up to $200/hour.
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,…
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