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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,…
Gig-style AI training work through Prolific's Expert Network: experienced ML engineers get paid per task (up to $80/hour) to evaluate and train LLMs — auditing model reasoning, ML code, and RLHF feedback. Core tech: Python, PyTorch or TensorFlow/Keras, Hugging Face, plus RLHF/RAG workflows and MLOps tooling.
Paid AI-training work as a participant in Prolific's Expert Network: senior ML engineers train and evaluate LLMs by auditing model logic, code, and chain-of-thought reasoning, and providing RLHF feedback. Core stack is Python, PyTorch/TensorFlow, Hugging Face, and LLM workflows like RLHF and RAG.
Gig-style role in Prolific's Expert Network: senior AI/ML engineers get paid (up to $80/hour) to train and evaluate LLMs — auditing model reasoning, ML code, and providing RLHF feedback. Core stack includes Python, PyTorch/TensorFlow, Hugging Face, and RAG/RLHF workflows.
A paid participant role in Prolific's Expert Network: ML/AI engineers get paid hourly (up to $80/hr) to train and evaluate LLMs — auditing model reasoning and ML code, and providing RLHF feedback. Requires deep ML expertise with PyTorch or TensorFlow, Python, and hands-on LLM workflows (prompt engineering, RLHF, RAG).
ML engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs remotely — auditing AI-generated explanations and code, refining RLHF feedback, and benchmarking model outputs for up to $80/hour on flexible tasks. Core stack: Python, PyTorch/TensorFlow, Hugging Face, and cloud/MLOps tools like SageMaker and Vertex AI.
Paid gig-style role joining Prolific's Expert Network as a participant: train and evaluate LLMs by auditing model reasoning, reviewing ML code/notebooks, and providing RLHF feedback. Requires solid ML engineering background (PyTorch/TensorFlow, Python, LLM workflows like RLHF/RAG); remote, task-based work paying up to $80/hour.
Senior AI/ML engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs: auditing model logic and code, providing RLHF feedback, analyzing reasoning, and benchmarking outputs for up to $80/hour. Stack includes Python, PyTorch/TensorFlow, Hugging Face, cloud MLOps tools, and vector databases.
Gig-style AI training work: accepted applicants join Prolific's Expert Network as paid participants who evaluate LLM outputs, audit ML code and reasoning, and provide RLHF-style human feedback. Requires deep ML expertise (PyTorch/TensorFlow, Python, RAG/RLHF) and pays up to $80/hour on flexible tasks.
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 outputs. Core stack: Python, PyTorch/TensorFlow, Hugging Face, cloud MLOps tools. Pay up to $80/hour on flexible remote tasks.
Senior AI/ML engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs: auditing AI-generated technical content and ML code, providing RLHF feedback, and benchmarking model reasoning. Core stack is Python, PyTorch/TensorFlow, Hugging Face, and RAG/RLHF tooling, paid up to $80/hour on flexible remote tasks.
Paid participant gig on Prolific's Expert Network: senior AI/ML engineers train and evaluate LLMs remotely — auditing model reasoning and ML code, refining RLHF feedback, and benchmarking outputs — for up to $80/hour. Core stack: PyTorch or TensorFlow, advanced Python, Hugging Face, RAG/RLHF workflows.
AI Trainer – Visual & Graphic Design Expert (Remote) 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…
Sales Professionals - 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, researchers, and…
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