Enterprise Operations Domain Analyst (English)

You will help evaluate how AI models handle complex enterprise operations problems. Your work will focus on supply chain, finance, and compliance scenarios that reflect real professional tasks.

You will define what a strong answer looks like, assess model outputs, and explain your decisions in clear written feedback.

• Design realistic scenarios and problem sets in supply chain, finance, and compliance.
• Write expert reference solutions that show accurate and complete answers.
• Create grading rubrics that distinguish correct, thorough work from weak responses.
• Evaluate AI-generated outputs for accuracy, depth, and practical domain judgment.
• Write structured feedback and technical explanations for evaluation standards.

What it takes

The role description calls for substantial hands-on experience and strong written communication.

• 8 to 12 years of experience in enterprise operations, supply chain, finance, or compliance.
• Current or recent hands-on professional activity in a relevant field.
• Bachelor's degree required.
• Fluent in English.
• Strong writing skills for technical explanations, reference answers, rubrics, and structured feedback.
• Ability to work independently and asynchronously in a remote environment.
• Relevant professional certifications are a plus.
• Experience reviewing, grading, editing, or giving structured feedback on technical work is helpful.
• Research publications, open-source contributions, or recognized work products in a relevant operations field are valuable.
• Familiarity with SAP or Oracle supply chain systems, FP&A modeling, or compliance audits is a plus.
• Part-time contract work requiring 20 or more hours per week.
• Open to candidates in the countries specified for this role, including the United States, Canada, the United Kingdom, Australia, India, and Singapore.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and start applications.

About AI training work

AI training is the human work behind modern AI systems. Contributors create examples, review model responses, and rate results so models can handle real tasks more accurately; experienced professionals are needed when the work depends on specialized judgment.