Senior AI/ML Engineer - Remote, Task-Based Evaluations

prolificacademicltd

United States

Remote

USD 91,000 - 129,000

Part time

14 days+

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Benefits offered by this job

Remote work
Flexible scheduling

Job summary

prolificacademicltd is seeking senior AI/ML engineers for remote, task-based technical work that trains and evaluates large language models. You will critique model behavior, code, and reasoning, focusing on deep technical feedback rather than ongoing product development.

Responsibilities include auditing training loops, evaluating explanations, and contributing to RLHF safety and alignment efforts. A strong foundation in neural networks and prompt engineering is essential.

Qualifications

  • Advanced degree in a quantitative ML field or equivalent research experience.
  • Production experience with ML models in training, deployment, or fine-tuning.
  • Familiar with neural architectures (Transformers, CNNs, RNNs) and optimization methods.

Responsibilities

  • Assess AI-generated explanations for architectural and mathematical accuracy.
  • Audit ML code, notebooks, training loops, and preprocessing for correctness and efficiency.
  • Provide expert feedback to strengthen RLHF processes for safety and helpfulness.
  • Analyze chain-of-thought reasoning to identify failures or flawed logic.
  • Benchmark model outputs against technical criteria.

Skills

Prompt engineering
RLHF
RAG workflows
Model evaluation
ML theory

Education

BS/MS/PhD in CS/AI/Robotics or related ML

Tools

PyTorch
TensorFlow/Keras
NumPy
Pandas
Scikit-learn
Hugging Face Transformers

Job description

prolificacademicltd is seeking senior AI/ML engineers for remote, task-based technical work that trains and evaluates large language models. You will critique model behavior, code, and reasoning, focusing on deep technical feedback rather than ongoing product development.

Responsibilities include auditing training loops, evaluating explanations, and contributing to RLHF safety and alignment efforts. A strong foundation in neural networks and prompt engineering is essential.

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