Remote Machine Vision Evaluation Specialist

AuraOne; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

AI Trainer Jobs is seeking a Machine Vision Engineer for a remote evaluation track to review prompts and responses against AuraOne's rubric. You will compare paired outputs, label edge cases, and generate structured feedback for retraining the modeling team.

Responsibilities include evaluating model outputs, selecting stronger answers with rationale, labeling hallucinations and unsafe content, and flagging prompts for rubric updates.

Qualifications

• Prior evaluation, annotation, or human-rater experience on machine vision engineer evaluation or adjacent content.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate machine vision engineer evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and pick the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Remote · Independent specialist contractor. Hourly rate confirmed after the interview process. Eligible from US.

Skills

Evaluation experience

Attention to detail

Clear written reasoning

Async collaboration

Reliability

Job description

AI Trainer Jobs is seeking a Machine Vision Engineer for a remote evaluation track to review prompts and responses against AuraOne's rubric. You will compare paired outputs, label edge cases, and generate structured feedback for retraining the modeling team.

Responsibilities include evaluating model outputs, selecting stronger answers with rationale, labeling hallucinations and unsafe content, and flagging prompts for rubric updates.