Remote Freelance ML Task Auditor for AI Training

Jobgether

Netherlands

On-site

EUR 83,000 - 119,000

Full time

6 days ago
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Benefits offered by this job

Remote work
Flexible project-based contract

Job summary

Jobgether is seeking a Machine Learning Task Auditor for a freelance AI trainer project based in the Netherlands. You will audit ML tasks used to train and evaluate AI models, ensuring technical accuracy, realism, reproducibility, and practical relevance.

The role involves reviewing workflows, data pipelines, and algorithms to identify issues and provide constructive feedback. The position offers a remote freelance arrangement with flexible project-based work, allowing experienced ML

Qualifications

  • Expertise in machine learning model development and data preprocessing pipelines.
  • Hands-on experience with PyTorch or TensorFlow.
  • Ability to rigorously test and evaluate complex ML scenarios.
  • Strong written communication for technical feedback.
  • Ability to work freelance, project-based.

Responsibilities

  • Evaluate machine learning tasks to determine technical accuracy, realism, solvability, reproducibility, and tests.
  • Review model development workflows, data preprocessing pipelines, and ML implementations for correctness.
  • Assess algorithms, training approaches, and expected outcomes for logical soundness.
  • Identify data pipeline flaws and model training inefficiencies affecting task quality.
  • Rigorously test complex ML scenarios to validate behavior.
  • Provide actionable technical feedback and improvements.
  • Document findings across project tasks.
  • Apply ML expertise to ensure high standards of accuracy, rigor, and reproducibility.

Skills

Machine Learning
PyTorch / TensorFlow
Data preprocessing
Analytical thinking
Independent work

Job description

Jobgether is seeking a Machine Learning Task Auditor for a freelance AI trainer project based in the Netherlands. You will audit ML tasks used to train and evaluate AI models, ensuring technical accuracy, realism, reproducibility, and practical relevance.

The role involves reviewing workflows, data pipelines, and algorithms to identify issues and provide constructive feedback. The position offers a remote freelance arrangement with flexible project-based work, allowing experienced ML

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