Remote ML Task Auditor for AI Training Quality

Jobgether; Turkey; On-site; TRY 4,674,000 - 6,678,000; Full time

Benefits offered by this job

Remote work

Contract-based

Job summary

Jobgether is listing a freelance ML Task Auditor role on behalf of a partner company based in Turkey. You will audit ML tasks, review data pipelines, algorithms, and testing approaches to ensure accuracy, realism, reproducibility, and practical evaluation.

The role offers a remote freelance contract with compensation of $70–$100 per hour, depending on experience and location, and requires strong ML expertise and ability to work independently on complex tasks.

Qualifications

• Demonstrated professional ML experience with model development and data pipelines.
• Strong understanding of ML algorithms and evaluation practices.
• Excellent analytical and problem-solving abilities.
• Clear, constructive technical feedback skills.

Responsibilities

• Evaluate ML tasks for accuracy, realism, solvability and reproducibility.
• Review data preprocessing pipelines and ML implementations for correctness.
• Assess algorithms, training approaches and expected outcomes for logical soundness.
• Identify data pipeline flaws and inefficiencies affecting task quality.
• Troubleshoot complex ML scenarios to validate task behavior and results.
• Provide actionable technical feedback and improvement recommendations.
• Document findings clearly across project tasks.

Skills

Machine Learning

Data preprocessing

Model evaluation

Analytical thinking

Independent work

Communication

Tools

PyTorch

TensorFlow

Job description

Jobgether is listing a freelance ML Task Auditor role on behalf of a partner company based in Turkey. You will audit ML tasks, review data pipelines, algorithms, and testing approaches to ensure accuracy, realism, reproducibility, and practical evaluation.

The role offers a remote freelance contract with compensation of $70–$100 per hour, depending on experience and location, and requires strong ML expertise and ability to work independently on complex tasks.