Remote ML Engineer Specialist – AI Trainer

Posted 9 months ago

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Description:

  • The position is for a Machine Learning Engineer Specialist – AI Trainer who will engage in Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains.
  • The role involves solving applied ML tasks that improve model reasoning, from baseline solutions to optimized workflows.
  • Responsibilities include evaluating scientific writing by comparing research abstracts and introductions using review rubrics for clarity, correctness, and impact.
  • The specialist will debug advanced model behavior by probing large language models (LLMs) on optimization, fairness, regularization, transformers, and applied NLP, while documenting failure modes.
  • The role requires designing new benchmark tasks, identifying datasets, analyzing state-of-the-art papers, building evaluation scripts, and providing reference implementations.
  • Improving training datasets by delivering structured feedback to enhance the accuracy, reliability, and usefulness of AI outputs is also a key responsibility.

Requirements:

  • Candidates must have a strong background in machine learning, natural language processing (NLP), or data science.
  • Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP is required.
  • Proficiency in Python, ML frameworks, and cloud-based workflows is essential.
  • A Master’s or PhD in Computer Science, Machine Learning, or Data Science is preferred; peer-reviewed research or production ML systems experience is a strong plus.
  • Clear communication skills are necessary, with the ability to explain reasoning and demonstrate work.

Benefits:

  • The role offers the opportunity to turn machine learning problem-solving into real-world impact by training and strengthening cutting-edge AI.
  • The position allows for participation in novel AI training initiatives, including evaluating models, shaping datasets, and designing challenges at the research frontier.
  • Flexibility is provided through remote, contract-based work with autonomy to set your own schedule.
  • The pay range for this position is $30-$50 per hour, with the exact rate determined based on experience, expertise, and geographic location.

Job type

Experience level

Required experience

-

Salary

$60,000—$100,000 / year

Degree requirement

Degree required

Location requirements

Benefits

-

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