QC Packaging Engineer, AI Project Quality

As a QC Packaging Engineer, you will assess the quality of technical work used in AI training and evaluation projects. You will use independent technical judgment to decide whether tasks and outputs are correct, complete, and ready for evaluation or delivery.

• Review technical tasks and outputs for correctness, completeness, and evaluation readiness.
• Assess verifiers, rubrics, test cases, and task-quality frameworks.
• Check technical work independently rather than relying only on automated quality checks.
• Support final quality and delivery decisions for technical projects.
• Apply consistent judgment across AI data, model evaluation, and task-generation workflows.

What it pays and takes

The role requires software engineering fundamentals, quality-control experience, and the ability to make reliable final quality or delivery decisions.

• Pay: The source does not provide a pay rate.
• Hours: At least 4 hours per day and 20 hours per week.
• Schedule: Includes 4 hours of overlap with Pacific Standard Time.
• Contract: 3 months, as a remote contractor assignment.
• Location: Open to candidates in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.
• Language: Professional fluency in English.
• Experience: Practicing software engineering experience and strong technical fundamentals.
• Quality control: Previous work as a QC expert, technical project lead, delivery lead, or equivalent technical owner.
• Knowledge: Understanding of QC pipelines and what makes tasks and verifiers effective.
• Helpful background: Designing, implementing, or reviewing verifiers, rubrics, test cases, or task-quality frameworks at scale.
• Helpful background: Owning a QC or verifier function, or serving as a senior engineer or technical lead responsible for evaluation or delivery quality.
• Helpful background: Familiarity with AI data, model evaluation, task generation, or similar technical evaluation work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. People prepare and review examples, evaluate model behavior, and check whether the tasks and quality systems used to train AI produce dependable results. OpenTrain helps people find these roles, build a profile, and apply in minutes. Experienced technical contributors are needed because strong judgment helps make AI data and evaluations more accurate.