Freelance ML Task Auditor — AI Quality and Reproducibility

remote work; United States; Remote; USD 68,000 - 97,000; Part time

Job summary

Meridial is seeking experienced machine learning specialists to audit tasks used for training and evaluating AI systems. This freelance role focuses on technical auditing of ML tasks, with emphasis on accuracy, realism, solvability, and reproducibility within your area of expertise.

You will assess ML tasks, evaluate testing criteria, and provide actionable feedback on data pipelines and algorithmic logic, documenting findings to support task improvements driven by your expertise.

Qualifications

• Demonstrable professional ML experience including model development and data preprocessing.
• Deep knowledge of ML frameworks such as PyTorch or TensorFlow.
• Strong analytical and problem solving skills to rigorously test and troubleshoot complex scenarios.
• Specialization aligned with candidate experience; breadth across domains is not required.

Responsibilities

• Assess ML tasks for technical accuracy, realism, solvability, and reproducibility
• Evaluate test reliability and evaluation criteria for training workflows
• Provide clear, actionable feedback on data pipelines, training inefficiencies, and algorithmic logic
• Document findings and contribute to task improvements based on expertise

Skills

ML experience

Model development

Data preprocessing

Analytical thinking

Problem solving

Tools

PyTorch

TensorFlow

Job description

Meridial is seeking experienced machine learning specialists to audit tasks used for training and evaluating AI systems. This freelance role focuses on technical auditing of ML tasks, with emphasis on accuracy, realism, solvability, and reproducibility within your area of expertise.

You will assess ML tasks, evaluate testing criteria, and provide actionable feedback on data pipelines and algorithmic logic, documenting findings to support task improvements driven by your expertise.