Remote Data-Video Evaluator — Europe

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Part time

Benefits offered by this job

Remote work

Hourly pay after interview

Job summary

AI Trainer Jobs is seeking a Data-Video Generalist (Europe-based) to join a remote evaluation track. Reviewers assess data video outputs against AuraOne's rubric, label edge cases, and provide structured feedback to help retrain the model.

You will compare paired responses, assign severity tags, and document rationales. Requires experience in data labeling or content moderation, strong written reasoning, and reliable, time-flexible availability for asynchronous work.

Qualifications

• Prior evaluation, annotation, or human-rater experience on data video generalist 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 data video generalist evaluation model outputs against a versioned rubric and assign severity tags for Data-Video Generalist (Europe-based) assignments.
• Compare paired responses and pick the stronger answer with a written 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.

Skills

Evaluation experience

Annotation

Written reasoning

Attention to detail

Async availability

Job description

AI Trainer Jobs is seeking a Data-Video Generalist (Europe-based) to join a remote evaluation track. Reviewers assess data video outputs against AuraOne's rubric, label edge cases, and provide structured feedback to help retrain the model.

You will compare paired responses, assign severity tags, and document rationales. Requires experience in data labeling or content moderation, strong written reasoning, and reliable, time-flexible availability for asynchronous work.