Software Engineering Evaluator - Expert - AI Trainer

Mercor; San Francisco (CA); Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Remote work

Hourly engagement

Job summary

Mercor is seeking expert Evaluators in Software Engineering to review AI-generated work products such as slides, spreadsheets, and documents. You will apply deep subject-matter knowledge to grade outputs for real-world quality, with a focus on usability within software engineering contexts.

This is a remote, hourly engagement. Candidates must have 5+ years of software engineering experience in top firms, be fluent in English, and proficient with Microsoft Office and Google Workspace.

Qualifications

• 5+ years of software engineering experience at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.
• Native or professional fluency in English.
• Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).

Responsibilities

• Evaluate AI-generated artifacts for usability in software engineering context.
• Identify factual, aesthetic, and presentation errors.
• Provide clear, structured written feedback.

Skills

Fluent English

Office proficiency

Education

Master’s degree or higher

Tools

Microsoft Office

Google Workspace

Job description

About the role

We are hiring expert Evaluators in Software Engineering to review and assess AI-generated work products (slides, spreadsheets, and documents) for real-world quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement.

Requirements (must have)

1. 5+ years of relevant professional experience in Software Engineering at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.

2. Native or professional fluency in English.

3. Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).

Preferred (nice to have)

• Advanced degree (Master's or higher) from a reputable institution.

What you'll do

• Evaluate AI-generated artifacts for usability in software engineering context.

• Identify factual, aesthetic, and presentation errors.

• Provide clear, structured written feedback.