Prolific

Prolific is a platform that enables researchers to quickly find trustworthy research participants. With a pool of over 120,000 active and verified participants, Prolific ensures high-quality responses through continuous monitoring and engagement. The p...

Professional Services

Industrials

51-250 (240)

Founded 1997

$0M raised

166 open positions

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AI Engineer/ML Engineer - Senior Developers - AI Training - Kansas City, US

1 month, 3 weeks ago

United States

Freelance

Senior

AI Engineer

Software Development

AWS Deep Learning GCP Keras LLM Machine Learning MLOps Neural Networks NumPy Pandas Python PyTorch SageMaker Scikit-learn TensorFlow Transformers Vertex AI

Apply Now

Prolific

Professional Services

51-250

Founded 1997

$0M raised

View All Jobs 166

Description

Evaluate AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
Audit ML code and notebooks, including training loops, data preprocessing scripts, and model evaluations, for correctness and efficiency.
Provide human feedback to refine RLHF frameworks and improve model alignment, safety, and helpfulness.
Analyze model reasoning on complex chain-of-thought prompts and identify where reasoning breaks down.
Benchmark and compare model outputs using technical taxonomies and performance metrics.
Review technical content for hallucinations, biased outputs, and logical failures.
Help train and evaluate next-generation LLMs through paid expert tasks.

Requirements

BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
Experience building, deploying, or fine-tuning ML models in a production environment.
Professional-level understanding of neural network architectures such as Transformers, CNNs, and RNNs, plus optimization techniques.
Hands-on experience with Prompt Engineering, RLHF, or RAG workflows.
Ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
High attention to detail in spotting hallucinations, biased outputs, and logical failures in AI-generated technical content.
Expert proficiency in PyTorch or TensorFlow/Keras.
Advanced Python experience, including NumPy, Pandas, Scikit-learn, and Hugging Face Transformers.
Experience with AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain.
Familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.

Benefits

Pay rates up to $80 per hour for researchers seeking your skills.
Flexible hours.
Ability to work from home.
Quick 10- to 15-minute assessment and fast onboarding if successful.

Interested in this position?

Apply directly on the company website

Apply Now

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