Remote ML Task Auditor — Freelance AI Trainer

Jobgether; Portugal; Presencial; EUR 83 000 - 119 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Remote work

Flexible hours

Freelance contract

Resumo da oferta

Jobgether is seeking a Machine Learning Task Auditor on a freelance basis to audit ML tasks used to train and evaluate AI models. Based in Portugal, you will work remotely on challenging technical assignments, reviewing data pipelines, algorithms, and testing approaches to ensure accuracy, realism, solvability, and reproducibility.

You will provide clear, actionable feedback, document findings, and apply deep ML knowledge, with a flexible contract and independent work style.

Qualificações

• Extensive experience in ML model development.
• Hands-on with PyTorch or TensorFlow.
• Strong analytical and testing skills.
• Independent freelancer with project discipline.
• Secure setup and reliable internet.

Responsabilidades

• Evaluate ML tasks for accuracy, realism, solvability, and reproducibility.
• Review model development workflows and data pipelines for technical correctness.
• Assess algorithms, training approaches, and expected outcomes.
• Identify data pipeline flaws and training inefficiencies.
• Test complex ML scenarios and provide actionable feedback.
• Document findings with clear, consistent reporting.
• Apply ML expertise to ensure high standards of accuracy and reproducibility.
• Collaborate with hiring team as a freelance contributor.

Conhecimentos

Machine Learning

PyTorch

TensorFlow

Data preprocessing

Evaluation practices

Ferramentas

PyTorch

TensorFlow

Data pipelines

Descrição da oferta de emprego

Jobgether is seeking a Machine Learning Task Auditor on a freelance basis to audit ML tasks used to train and evaluate AI models. Based in Portugal, you will work remotely on challenging technical assignments, reviewing data pipelines, algorithms, and testing approaches to ensure accuracy, realism, solvability, and reproducibility.

You will provide clear, actionable feedback, document findings, and apply deep ML knowledge, with a flexible contract and independent work style.