Senior AI Engineer, Data Quality and Pipeline Automation

The work

You will support AI training work focused on autonomous data pipeline operations. The work uses data pipeline code, execution DAGs, and warehouse data profiles to help AI systems learn from structured expert judgment and clear feedback.

• Evaluate model outputs using project rubrics and record evidence-based judgments.
• Review source materials and model outputs against detailed project guidelines.
• Explain your decisions clearly so feedback can improve model behavior.
• Maintain consistent quality across repeated review and evaluation tasks.

What it pays and takes

This is remote independent contractor work. The listing describes an approximately two-month engagement, while the project details show a 20+ hour weekly requirement and the role description calls for 40 hours per week.

• Compensation: See the project budget fields on this job page; no hourly or fixed rate is provided in the listing.
• Schedule: Approximately two months, with at least six hours aligned to IST each day.
• Location: Worldwide remote work.
• Language: Fluent English is required.
• Expertise: Relevant professional or academic knowledge of autonomous data pipeline operations.
• Skills: Strong written communication, careful attention to detail, and the ability to follow detailed instructions.
• Work style: You should be comfortable working independently on remote contractor tasks.
• Experience: Prior AI training experience is not required unless stated elsewhere on the job page.

How it works

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

About AI training work

AI training is the human work behind systems that generate, classify, and evaluate information. Experienced engineers are paid to review examples, apply technical judgment, and give clear feedback that helps these systems perform better.